Take-Home_Ex2

Published

December 7, 2023

Modified

December 16, 2023

A Study of Singapore Public Bus Flow during the Weekend/Holiday Morning Peak 11am - 2pm

Overview and Objectives

This study will revolve around the flow of commuter bus trips in Singapore. Its objectives are as follow:

  1. Identifying and Creating an appropriate Traffic Analysis Zone (TAZ) in the form of hexagon cells based on the locations of Singapore bus stops.

  2. Visualizing the desired lines (flowlines) based on the origin-destination (O-D) data of commuter bus trips in Singapore based on a particular time frame and the defined TAZ.

  3. Creating and Comparing different Spatial Interaction Models based on the O-D matrix and other relevant features in the origin and destination hexagon cells in the particular time frame.

Getting Started

First, the necessary R packages will be loaded using the p_load() function of the pacman package. p_load() will also install any package which is not already installed. The following packages will be loaded:

  • DT: Provides an R interface to the JavaScript library DataTables.

  • ggpubr: To arrange ggplot maps in a grid.

  • performance: For assessing model quality and model comparison.

  • reshape2: For restructuring data

  • sf: For handling of geospatial data.

  • sfdep: For determining the spatial dependence of spatial features. The three main categories of functionality relates to the determination of geometry neighbors, weights, and LISA.

  • sp: Classes and methods for spatial data.

  • stplanr: For creating desire lines on origin-destination data.

  • tidyverse: For manipulation of non-spatial data. This package contains ggplot2 for plotting, dplyr and tidyr for dataframe manipulation, and readr for reading comma-separated values (CSV).

  • tmap: For thematic mapping, especially the mapping of simple features data frame.

  • units: Support for measurement units in R vectors, matrices and arrays

pacman::p_load(tmap, sf, sp, DT, performance, reshape2, units, tidyverse, sfdep, stplanr, ggpubr)

Defining the Desired Time Frame

There are four time windows of transit behaviour which can be considered:

Peak hour period Bus tap on time
Weekday morning peak 6am to 9am
Weekday afternoon peak 5pm to 8pm
Weekend/holiday morning peak 11am to 2pm
Weekend/holiday evening peak 4pm to 7pm

This study will focus on the Weekend/holiday Morning Peak 11am - 2pm. This would allow the study to focus on the transit flow of Singapore residents during a period of rest and relaxation, leading to recommendations to improve the attractiveness of dining, leisure, retail, and entertainment destinations in Singapore.

Importing Required Data

For the purpose of this study, two types of data will be used: geospatial data which consists of spatial features and their coordinates information, and aspatial data which consists of attributes which can be ascribed to the geospatial data. Specifically, the following datasets will be used for each type:

  1. Geospatial Data:
    • BusStop.shp: This shape file contains the locations of the bus stops in Singapore as at July 2023. This file can be retrieved from the Land Transport Authority (LTA) Data Mall (link). They are stored as points.
    • RapidTransitSystemStation.shp: This shape file contains the locations of all Mass Rapid Transit (MRT) and Light Rail Transit (LRT) stations in Singapore in polygon shapes.
    • Train_Station_Exit_Layer.shp: This shape file contains the exit points of all MRT and LRT stations in Singapore. They are stored as points.
    • entertn.shp: This shape file contains the locations of entertainment venues in Singapore such as cinemas and theatres. They are stored as points.
    • F&B.shp: This shape file contains the locations of Food & Beverage venues in Singapore such as restaurants and cafes. They are stored as points.
    • FinServ.shp: This shape file contains the locations of Financial Services in Singapore such ATMs, money changers, and banks. They are stored as points.
    • Liesure&Recreation.shp: This shape file contains the locations of Leisure and Recreation venues in Singapore such as sport venues, museums, and galleries. They are stored as points.
    • Retails.shp: This shape file contains the locations of Retail venues in Singapore, including all shops which might not fall under other categories. They are stored as points.
  2. Aspatial Data:
    • origin_destination_bus_202309.csv: This CSV file contains the detail of bus trips from an originating bus stop to a destination bus stop, identified by their unique codes, each hour of the day during September 2023. The data is further broken down into weekend or weekday, but not by the specific day of the week. This data can be retrieved by using the LTA Data Mall’s API (link).
    • hdb.csv: This CSV file contains the details of different HDB blocks in Singapore, including the number of dwelling units and their types. More importantly, it also consists of the longitudes and latitudes of the HDB blocks, which would allow us to create a sf data frame and treat the information as a spatial object.

The first steps taken will be to import these files into the R environment in a manipulable format.

Importing Geospatial Data

Geospatial data can be imported using the st_read() function of the sf package. This will import the file into the R environment as a sf (simple features) data frame. st_transform() can be added to transform the Coordinate Reference System (CRS) to EPSG: 3414, which is the CRS of Singapore.

Note

In st_read():

  • dsn: the directory where the shape file is stored

  • layer: the name of the shape file

Master Planning Sub-Zone 2019

Important

Even though the study’s analysis layer is based on hexagon cells, by importing the Master Planning Sub-Zone 2019 file, other point layers such as Retail and Leisure can be contextualized onto the map of Singapore. This will allows for the visualization of their locations in different planning sub-zones of Singapore.

mpsz <- st_read(dsn = 'data/geospatial',
                layer = 'MPSZ-2019') %>%
  st_transform(crs = 3414)
Reading layer `MPSZ-2019' from data source 
  `D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial' 
  using driver `ESRI Shapefile'
Simple feature collection with 332 features and 6 fields
Geometry type: MULTIPOLYGON
Dimension:     XY
Bounding box:  xmin: 103.6057 ymin: 1.158699 xmax: 104.0885 ymax: 1.470775
Geodetic CRS:  WGS 84
glimpse(mpsz)
Rows: 332
Columns: 7
$ SUBZONE_N  <chr> "MARINA EAST", "INSTITUTION HILL", "ROBERTSON QUAY", "JURON…
$ SUBZONE_C  <chr> "MESZ01", "RVSZ05", "SRSZ01", "WISZ01", "MUSZ02", "MPSZ05",…
$ PLN_AREA_N <chr> "MARINA EAST", "RIVER VALLEY", "SINGAPORE RIVER", "WESTERN …
$ PLN_AREA_C <chr> "ME", "RV", "SR", "WI", "MU", "MP", "WI", "WI", "SI", "SI",…
$ REGION_N   <chr> "CENTRAL REGION", "CENTRAL REGION", "CENTRAL REGION", "WEST…
$ REGION_C   <chr> "CR", "CR", "CR", "WR", "CR", "CR", "WR", "WR", "CR", "CR",…
$ geometry   <MULTIPOLYGON [m]> MULTIPOLYGON (((33222.98 29..., MULTIPOLYGON (…

The data type for each column can be seen as well as some of their values. For sf data frames, there is a geometry column (MULTIPOLYGON type) which contains the location information for each polygon.

Additionally, mpsz can be visualized in order to spot any anomaly. This can be done using the qtm() function in the tmap package for quick plotting.

tm_shape(mpsz)+
  tm_polygons(col = 'white')+
  tm_layout(main.title = 'Singapore Planning Subzones',
            main.title.position = 'center')+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)+
  tm_credits('Sourrce: Planning Sub-zone boundary from Urban Redevelopment Authority',
             position = c('left','bottom'))

Bus Stop

The steps used to import and examine the mpsz data frame can be repeated for the busstop data frame.

busstop <- st_read(dsn = 'data/geospatial',
                   layer = 'BusStop') %>%
  st_transform(crs = 3414)
Reading layer `BusStop' from data source 
  `D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial' 
  using driver `ESRI Shapefile'
Simple feature collection with 5161 features and 3 fields
Geometry type: POINT
Dimension:     XY
Bounding box:  xmin: 3970.122 ymin: 26482.1 xmax: 48284.56 ymax: 52983.82
Projected CRS: SVY21
glimpse(busstop)
Rows: 5,161
Columns: 4
$ BUS_STOP_N <chr> "22069", "32071", "44331", "96081", "11561", "66191", "2338…
$ BUS_ROOF_N <chr> "B06", "B23", "B01", "B05", "B05", "B03", "B02A", "B02", "B…
$ LOC_DESC   <chr> "OPP CEVA LOGISTICS", "AFT TRACK 13", "BLK 239", "GRACE IND…
$ geometry   <POINT [m]> POINT (13576.31 32883.65), POINT (13228.59 44206.38),…

Additionally, busstop can be visualized in order to spot any anomaly. This can be done using the tm_shape() function in the tmap package for quick plotting.

Note

A separate tm_shape() argument can be used to add the mpsz object as a layer on which the bus stops can be visualized. This will allow for the contextualization of bus stop locations on Singapore map.

tm_shape(mpsz)+
  tm_polygons(col = 'white')+
  tm_shape(busstop)+
  tm_dots(col = 'red')+
  tm_layout(main.title = 'Singapore Bus Stops',
            main.title.position = 'center')+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)+
  tm_credits('Sourrce: Bus Stops Location from Land Transport Authority',
             position = c('left','bottom'))

The visualization shows us that there are four bus stops in Malaysia. Let’s remove them so that only bus stops in Singapore will be considered. This is because these special bus stops might exhibit different behaviors due to their different context from the rest of the bus stops in Singapore.

filter() can be used in conjunction with a dplyr step to remove these bus stops.

busstop <- busstop %>%   filter(!BUS_STOP_N %in% c('46609','47701', '46211', '46219', '46239'))

tm_shape() can be used again to check that the bus stops have been removed.

tm_shape(mpsz)+
  tm_polygons(col = 'white')+
  tm_shape(busstop)+
  tm_dots(col = 'red')+
  tm_layout(main.title = 'Singapore Bus Stops',
            main.title.position = 'center')+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)+
  tm_credits('Sourrce: Bus Stops Location from Land Transport Authority',
             position = c('left','bottom'))

Entertainment

A similar procedures can be done to glimpse and map the information in the other sf data frames.

Entertainment <- st_read(dsn = 'data/geospatial',
            layer = 'entertn')
Reading layer `entertn' from data source 
  `D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial' 
  using driver `ESRI Shapefile'
Simple feature collection with 114 features and 3 fields
Geometry type: POINT
Dimension:     XY
Bounding box:  xmin: 10809.34 ymin: 26528.63 xmax: 41600.62 ymax: 46375.77
Projected CRS: SVY21 / Singapore TM
glimpse(Entertainment)
Rows: 114
Columns: 4
$ POI_NAME   <chr> "TP AUDITORIUM", "NP CONVENTION CENTRE", "SP AUDITORIUM", "…
$ POI_ST_NUM <chr> NA, NA, NA, "1", "350", NA, "201", NA, "83", "328", NA, "5"…
$ POI_ST_NAM <chr> NA, NA, NA, "FULLERTON SQ", "BALESTIER RD", "TRENGGANU ST",…
$ geometry   <POINT [m]> POINT (39115.71 36392.13), POINT (21533.12 34921.34),…

As can be seen, venues such as galleries, theatres, and cinemas are included in the Entertainment data frame. This sf data frame has already been projected to ‘SVY21 / Singapore TM’ and does not need further transformation.

tm_shape(mpsz)+
  tm_polygons(col = 'white')+
  tm_shape(Entertainment)+
  tm_dots(col = 'red')+
  tm_layout(main.title = 'Singapore Entertainment Venues',
            main.title.position = 'center')+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)

An immediate stand-out from the visualization is the fact that most entertainment venues are concentrated in the Downtown Core area, which might be a potential attractive factor.

Food and Beverage (F&B)

FoodBev <- st_read(dsn = 'data/geospatial',
            layer = 'F&B')
Reading layer `F&B' from data source 
  `D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial' 
  using driver `ESRI Shapefile'
Simple feature collection with 1919 features and 3 fields
Geometry type: POINT
Dimension:     XY
Bounding box:  xmin: 6010.495 ymin: 25343.27 xmax: 45462.43 ymax: 48796.21
Projected CRS: SVY21 / Singapore TM
glimpse(FoodBev)
Rows: 1,919
Columns: 4
$ POI_NAME   <chr> "KHEL", "I PUB", "LARK LOUNGE & NITE-CLUB", "CHAKRAVARTHY",…
$ POI_ST_NUM <chr> "141", "14", "195", "195", "48", "36", "10", "697", "11", "…
$ POI_ST_NAM <chr> "KITCHENER RD", "CHUN TIN RD", "LAVENDER ST", "LAVENDER ST"…
$ geometry   <POINT [m]> POINT (30654.44 32466.51), POINT (21515.34 36007.18),…

As can be seen, venues such as pubs, restaurants, and cafes are included in the FoodBev data frame. This sf data frame has already been projected to ‘SVY21 / Singapore TM’ and does not need further transformation.

tm_shape(mpsz)+
  tm_polygons(col = 'white')+
  tm_shape(FoodBev)+
  tm_dots(col = 'red')+
  tm_layout(main.title = 'Singapore F&B Venues',
            main.title.position = 'center')+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)

An immediate stand-out from the visualization is the fact that most F&B venues are concentrated in the Downtown Core area, which might be a potential attractive factor.

Financial Services

FinServ <- st_read(dsn = 'data/geospatial',
            layer = 'FinServ')
Reading layer `FinServ' from data source 
  `D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial' 
  using driver `ESRI Shapefile'
Simple feature collection with 3320 features and 3 fields
Geometry type: POINT
Dimension:     XY
Bounding box:  xmin: 4881.527 ymin: 25171.88 xmax: 46526.16 ymax: 49338.02
Projected CRS: SVY21 / Singapore TM
glimpse(FinServ)
Rows: 3,320
Columns: 4
$ POI_NAME   <chr> "UOB", "POSB", "UOB", "OCBC", "OCBC", "MAYBANK", "ADPOST MO…
$ POI_ST_NUM <chr> "201", "375", "375", "375", NA, "707", "163", NA, "11", NA,…
$ POI_ST_NAM <chr> "YISHUN AVE 2", "COMMONWEALTH AVE", "COMMONWEALTH AVE", "CO…
$ geometry   <POINT [m]> POINT (27966.77 44304.65), POINT (24163.96 31606.25),…

As can be seen, venues such as bank branches, moneychangers, and ATMs are included in the FinServ data frame. This sf data frame has already been projected to ‘SVY21 / Singapore TM’ and does not need further transformation.

tm_shape(mpsz)+
  tm_polygons(col = 'white')+
  tm_shape(FinServ)+
  tm_dots(col = 'red')+
  tm_layout(main.title = 'Singapore Financial Services',
            main.title.position = 'center')+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)

Unlike Entertainment and F&B Venues, Financial Services are more distributed throughout Singapore. However, there still seems to be concentration in the Downtown Core.

Leisure

Leisure <- st_read(dsn = 'data/geospatial',
            layer = 'Liesure&Recreation')
Reading layer `Liesure&Recreation' from data source 
  `D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial' 
  using driver `ESRI Shapefile'
Simple feature collection with 1217 features and 30 fields
Geometry type: POINT
Dimension:     XY
Bounding box:  xmin: 6010.495 ymin: 25134.28 xmax: 48439.77 ymax: 50078.88
Projected CRS: SVY21 / Singapore TM
glimpse(Leisure)
Rows: 1,217
Columns: 31
$ LINK_ID    <dbl> 914885888, 1046871091, 845355245, 940657500, 940657500, 941…
$ POI_ID     <dbl> 1192316147, 1132324271, 1132324254, 1110521716, 1110521715,…
$ SEQ_NUM    <int> 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,…
$ FAC_TYPE   <int> 8410, 7997, 7997, 7997, 7997, 8410, 7997, 7997, 7997, 7997,…
$ POI_NAME   <chr> "NIE ART GALLERY", "ASPIRE CONCEPT", "SOCCERPUNTER", "ANAND…
$ POI_LANGCD <chr> "ENG", "ENG", "ENG", "ENG", "ENG", "ENG", "ENG", "ENG", "EN…
$ POI_NMTYPE <chr> "B", "B", "B", "B", "B", "B", "B", "J", "B", "B", "B", "B",…
$ POI_ST_NUM <chr> NA, "883", "14", "1", "1", "39", NA, NA, "108", "11", "11",…
$ ST_NUM_FUL <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, "169A", NA, NA,…
$ ST_NFUL_LC <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, "ENG", NA, NA, …
$ ST_NAME    <chr> "NANYANG CRES", "NORTH BRIDGE RD", "ROBINSON RD", "MARINE P…
$ ST_LANGCD  <chr> "ENG", "ENG", "ENG", "ENG", "ENG", "ENG", NA, NA, "ENG", "E…
$ POI_ST_SD  <chr> "R", "L", "L", "R", "R", "L", "R", "R", "L", "L", "L", "R",…
$ ACC_TYPE   <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ PH_NUMBER  <chr> NA, "66347769", NA, NA, "63446164", "63327591", "67659324",…
$ CHAIN_ID   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ NAT_IMPORT <chr> "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N",…
$ PRIVATE    <chr> "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N",…
$ IN_VICIN   <chr> "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N", "N",…
$ NUM_PARENT <int> 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 2, 0, 0, 0, 0,…
$ NUM_CHILD  <int> 0, 0, 0, 0, 0, 0, 4, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,…
$ PERCFRREF  <int> NA, NA, NA, 43, 43, 51, 40, 40, NA, NA, 40, 99, 59, 15, NA,…
$ VANCITY_ID <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ ACT_ADDR   <chr> NA, NA, NA, NA, NA, NA, "1 CHOA CHU KANG STREET 53         …
$ ACT_LANGCD <chr> NA, NA, NA, NA, NA, NA, "ENG", "ENG", NA, NA, NA, NA, NA, N…
$ ACT_ST_NAM <chr> NA, NA, NA, NA, NA, NA, "CHOA CHU KANG STREET 53", "CHOA CH…
$ ACT_ST_NUM <chr> NA, NA, NA, NA, NA, NA, "1", "1", NA, NA, NA, NA, NA, NA, N…
$ ACT_ADMIN  <chr> NA, NA, NA, NA, NA, NA, "SINGAPORE", "SINGAPORE", NA, NA, N…
$ ACT_POSTAL <chr> NA, NA, NA, NA, NA, NA, "689236", "689236", NA, NA, NA, NA,…
$ ENTR_TYPE  <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ geometry   <POINT [m]> POINT (10664.66 36585.97), POINT (31490.24 32040.81),…

As can be seen, venues such as museums, sport activities, and parks are included in the Leisure data frame. This sf data frame has already been projected to ‘SVY21 / Singapore TM’ and does not need further transformation. However, this data frame contains too many variables which might not be used. In order to standardize it to other data frames, the select() function can be used.

Note

The Leisure data frame contains a variable named “ST_NAME” which is the street name of the venue. This can be renamed to “POI_ST_NAM” to standardize it to other data frames. “POI_ST_NAM” refers to the street name of the point polygon, which might differ slightly to “ST_NAME”, but not meaningfully so.

rename() can be used to perform this operation.

Leisure <- Leisure %>%
  select(POI_NAME, POI_ST_NUM, ST_NAME, geometry) %>%
  rename(POI_ST_NAM = ST_NAME)

glimpse(Leisure)
Rows: 1,217
Columns: 4
$ POI_NAME   <chr> "NIE ART GALLERY", "ASPIRE CONCEPT", "SOCCERPUNTER", "ANAND…
$ POI_ST_NUM <chr> NA, "883", "14", "1", "1", "39", NA, NA, "108", "11", "11",…
$ POI_ST_NAM <chr> "NANYANG CRES", "NORTH BRIDGE RD", "ROBINSON RD", "MARINE P…
$ geometry   <POINT [m]> POINT (10664.66 36585.97), POINT (31490.24 32040.81),…
tm_shape(mpsz)+
  tm_polygons(col = 'white')+
  tm_shape(Leisure)+
  tm_dots(col = 'red')+
  tm_layout(main.title = 'Singapore Leisure Venues',
            main.title.position = 'center')+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)

An immediate stand-out from the visualization is the fact that most retail venues are concentrated in the Downtown Core area, which might be a potential attractive factor.

Retails

Retails <- st_read(dsn = 'data/geospatial',
            layer = 'Retails')
Reading layer `Retails' from data source 
  `D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial' 
  using driver `ESRI Shapefile'
Simple feature collection with 37635 features and 3 fields
Geometry type: POINT
Dimension:     XY
Bounding box:  xmin: 4737.982 ymin: 25171.88 xmax: 48265.04 ymax: 50135.28
Projected CRS: SVY21 / Singapore TM
glimpse(Retails)
Rows: 37,635
Columns: 4
$ POI_NAME   <chr> "TIAN KEE & CO", "PEOPLE TRADITIONAL CHINESE MEDICAL", "RIV…
$ POI_ST_NUM <chr> "12", "12", NA, NA, "588", "243", "208", "267", "231", "158…
$ POI_ST_NAM <chr> "DAKOTA CRES", "DAKOTA CRES", NA, NA, "SERANGOON RD", "ALEX…
$ geometry   <POINT [m]> POINT (33713.83 32023.15), POINT (33713.83 32023.15),…

As can be seen, venues such as bank pharmacy, gift shops, and other general and specialized stores are included in the Retails data frame. This sf data frame has already been projected to ‘SVY21 / Singapore TM’ and does not need further transformation.

tm_shape(mpsz)+
  tm_polygons(col = 'white')+
  tm_shape(Retails)+
  tm_dots(col = 'red')+
  tm_layout(main.title = 'Singapore Retails Venues',
            main.title.position = 'center')+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)

Unlike other data frames, it appears that retail venues are quite distributed across the islands, with most location having many different retail venues. However, this map is lacking in fidelity in terms of the type of retail venues, specifically in the category of goods sold.

Train Station and Station Exits

trainstation <- st_read(dsn = 'data/geospatial',
                        layer = 'RapidTransitSystemStation')
Reading layer `RapidTransitSystemStation' from data source 
  `D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial' 
  using driver `ESRI Shapefile'
Simple feature collection with 220 features and 4 fields
Geometry type: POLYGON
Dimension:     XY
Bounding box:  xmin: 6068.209 ymin: 27478.44 xmax: 45377.5 ymax: 47913.58
Projected CRS: SVY21
# trainstation <- trainstation %>%
#   filter(st_is_valid(.))

glimpse(trainstation)
Rows: 220
Columns: 5
$ TYP_CD     <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ STN_NAM    <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ TYP_CD_DES <chr> "MRT", "MRT", "MRT", "MRT", "MRT", "LRT", "MRT", "MRT", "LR…
$ STN_NAM_DE <chr> "ESPLANADE MRT STATION", "PAYA LEBAR MRT STATION", "DHOBY G…
$ geometry   <POLYGON [m]> POLYGON ((30566.07 30621.21..., POLYGON ((34495.6 3…

As can be seen, trainstation data frame contains the that type of stations, their names, and their geometry in polygon shape. However, there is a warning message that there are non-closed ring, which indicates that some polygons are not whole in that their start point and their end point are not the same. This can be addressed by fixing the non-closed polygon using st_make_valid() or by filtering them out of the data frame using st_is_valid() and filter(). For this study, These polygons will be removed as contextual information on why they are non-closed is missing.

Additionally, the projected CRS is SVY21, and requires transformation to SVY21/Singapore TM using st_transform().

trainstation <- trainstation %>%
  filter(st_is_valid(.)) %>%
  st_transform(crs = 3414)

glimpse(trainstation)
Rows: 217
Columns: 5
$ TYP_CD     <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ STN_NAM    <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
$ TYP_CD_DES <chr> "MRT", "MRT", "MRT", "MRT", "MRT", "LRT", "MRT", "MRT", "LR…
$ STN_NAM_DE <chr> "ESPLANADE MRT STATION", "PAYA LEBAR MRT STATION", "DHOBY G…
$ geometry   <POLYGON [m]> POLYGON ((30566.07 30621.21..., POLYGON ((34495.6 3…
st_crs(trainstation)
Coordinate Reference System:
  User input: EPSG:3414 
  wkt:
PROJCRS["SVY21 / Singapore TM",
    BASEGEOGCRS["SVY21",
        DATUM["SVY21",
            ELLIPSOID["WGS 84",6378137,298.257223563,
                LENGTHUNIT["metre",1]]],
        PRIMEM["Greenwich",0,
            ANGLEUNIT["degree",0.0174532925199433]],
        ID["EPSG",4757]],
    CONVERSION["Singapore Transverse Mercator",
        METHOD["Transverse Mercator",
            ID["EPSG",9807]],
        PARAMETER["Latitude of natural origin",1.36666666666667,
            ANGLEUNIT["degree",0.0174532925199433],
            ID["EPSG",8801]],
        PARAMETER["Longitude of natural origin",103.833333333333,
            ANGLEUNIT["degree",0.0174532925199433],
            ID["EPSG",8802]],
        PARAMETER["Scale factor at natural origin",1,
            SCALEUNIT["unity",1],
            ID["EPSG",8805]],
        PARAMETER["False easting",28001.642,
            LENGTHUNIT["metre",1],
            ID["EPSG",8806]],
        PARAMETER["False northing",38744.572,
            LENGTHUNIT["metre",1],
            ID["EPSG",8807]]],
    CS[Cartesian,2],
        AXIS["northing (N)",north,
            ORDER[1],
            LENGTHUNIT["metre",1]],
        AXIS["easting (E)",east,
            ORDER[2],
            LENGTHUNIT["metre",1]],
    USAGE[
        SCOPE["Cadastre, engineering survey, topographic mapping."],
        AREA["Singapore - onshore and offshore."],
        BBOX[1.13,103.59,1.47,104.07]],
    ID["EPSG",3414]]

After the transformation, 3 features have been removed and the projected CRS is now SVY21/Singapore TM.

Before visualizing the trainstation, the train exit points can be imported so that they can be visualized together due to their inherently connected nature.

trainexit <- st_read(dsn = 'data/geospatial',
                     layer = 'Train_Station_Exit_Layer')
Reading layer `Train_Station_Exit_Layer' from data source 
  `D:\phlong2023\ISSS624\Take-Home_Ex\Take-Home_Ex2\data\geospatial' 
  using driver `ESRI Shapefile'
Simple feature collection with 565 features and 2 fields
Geometry type: POINT
Dimension:     XY
Bounding box:  xmin: 6134.086 ymin: 27499.7 xmax: 45356.36 ymax: 47865.92
Projected CRS: SVY21
glimpse(trainexit)
Rows: 565
Columns: 3
$ stn_name  <chr> "MACPHERSON MRT STATION", "MACPHERSON MRT STATION", "MACPHER…
$ exit_code <chr> "Exit A", "Exit B", "Exit C", "Exit B", "Exit A", "Exit A", …
$ geometry  <POINT [m]> POINT (34285.07 34322.99), POINT (34382.15 34231.9), P…

The train exit data frame consists of each MRT and LRT stations and the point geometry of all of their exits. However, its projected CRS is SVY21, which should be transformed into SVY21/Singapore TM using st_transform().

trainexit <- trainexit %>%
  st_transform(crs = 3414)

st_crs(trainexit)
Coordinate Reference System:
  User input: EPSG:3414 
  wkt:
PROJCRS["SVY21 / Singapore TM",
    BASEGEOGCRS["SVY21",
        DATUM["SVY21",
            ELLIPSOID["WGS 84",6378137,298.257223563,
                LENGTHUNIT["metre",1]]],
        PRIMEM["Greenwich",0,
            ANGLEUNIT["degree",0.0174532925199433]],
        ID["EPSG",4757]],
    CONVERSION["Singapore Transverse Mercator",
        METHOD["Transverse Mercator",
            ID["EPSG",9807]],
        PARAMETER["Latitude of natural origin",1.36666666666667,
            ANGLEUNIT["degree",0.0174532925199433],
            ID["EPSG",8801]],
        PARAMETER["Longitude of natural origin",103.833333333333,
            ANGLEUNIT["degree",0.0174532925199433],
            ID["EPSG",8802]],
        PARAMETER["Scale factor at natural origin",1,
            SCALEUNIT["unity",1],
            ID["EPSG",8805]],
        PARAMETER["False easting",28001.642,
            LENGTHUNIT["metre",1],
            ID["EPSG",8806]],
        PARAMETER["False northing",38744.572,
            LENGTHUNIT["metre",1],
            ID["EPSG",8807]]],
    CS[Cartesian,2],
        AXIS["northing (N)",north,
            ORDER[1],
            LENGTHUNIT["metre",1]],
        AXIS["easting (E)",east,
            ORDER[2],
            LENGTHUNIT["metre",1]],
    USAGE[
        SCOPE["Cadastre, engineering survey, topographic mapping."],
        AREA["Singapore - onshore and offshore."],
        BBOX[1.13,103.59,1.47,104.07]],
    ID["EPSG",3414]]

Now, both trainstation and trainexit can be visualized together using the tmap package.

Note

Due to the smaller size of the train station polygons, it will be difficult to see them on a static map. tmap_mode(‘view’) can be used to create an interactive map which would allow for zoom.

Some helpful functions can be used to create a better interactive map:

  • tmap_options(check.and.fix = TRUE): Even though our data frames do not contain any broken polygons, this argument can still be added in order to close any non-closed polygons.

  • tm_view(set.zoom.limits = c(11,14)): This option is added to limit the zoom level of the map, preventing user from zooming in too close or zooming out too far. 11 indicates the minimum zoom level while 14 indicates the maximum zoom level.

  • tmap_mode(‘plot’): This function is added to return the tmap_mode to plotting mode for later code chunks. This will ensure that the next code chunk is the lighter, static plot rather than an interactive plot by default.

tmap_options(check.and.fix = TRUE)
tmap_mode('view')

tm_shape(mpsz)+
  tm_polygons(alpha = 0.5)+
  tm_shape(trainstation)+
  tm_fill(col = 'blue',
          id = 'STN_NAM_DE')+
  tm_shape(trainexit)+
  tm_dots(col = 'red',
          id = 'exit_code')+
  tm_view(set.zoom.limits = c(11,16))+
  tm_layout(title = 'Singapore Train Station and Exits',
            title.position = c('right','top'))
tmap_mode('plot')

There are two immediate issues which emerge by looking at the visualization:

  1. The trainstation data frame contains the locations of train depots such as the Mandai Depot and the Ulu Pandan Depot, which are not accessible to commuters.
  2. The trainstation data frame contains the locations of train stations which are not in operation such as the Bukit Brown MRT Station and the Mount Pleasant MRT Station, and, therefore, are not accessible to commuters and have no exit.

It is possible to resolve both of these issues by only retaining the train stations which are listed in the trainexit data frame using the %in% argument and filter().

trainstation <- trainstation %>%
  filter(trainstation$STN_NAM_DE %in% trainexit$stn_name)

Eighteen stations have been removed from the trainstation dataset, the visualization can be recreated to confirm whether only commuter-accessible train station remains.

tmap_options(check.and.fix = TRUE)
tmap_mode('view')

tm_shape(mpsz)+
  tm_polygons(alpha = 0.5)+
  tm_shape(trainstation)+
  tm_fill(col = 'blue',
          id = 'STN_NAM_DE')+
  tm_shape(trainexit)+
  tm_dots(col = 'red',
          id = 'exit_code')+
  tm_view(set.zoom.limits = c(11,16))+
  tm_layout(title = 'Singapore Train Station and Exits',
            title.position = c('right','top'))
tmap_mode('plot')

Importing Aspatial Data

Passenger

The read_csv() function of readr can be used to import the origin_destination_bus_202309 CSV file into the R environment as a data frame.

passenger <- read_csv('data/aspatial/origin_destination_bus_202309.csv')

From the message provided by R, it can be seen that the passenger has 5,714,196 rows and 7 columns.

head() can be used instead of glimpse() to view the top five rows of the passenger data frame. This will also allow us to see the data type of each of the column.

head(passenger)
# A tibble: 6 × 7
  YEAR_MONTH DAY_TYPE   TIME_PER_HOUR PT_TYPE ORIGIN_PT_CODE DESTINATION_PT_CODE
  <chr>      <chr>              <dbl> <chr>   <chr>          <chr>              
1 2023-09    WEEKENDS/…            17 BUS     24499          22221              
2 2023-09    WEEKENDS/…            10 BUS     65239          65159              
3 2023-09    WEEKDAY               10 BUS     65239          65159              
4 2023-09    WEEKDAY                7 BUS     23519          23311              
5 2023-09    WEEKENDS/…             7 BUS     23519          23311              
6 2023-09    WEEKENDS/…            11 BUS     52509          42041              
# ℹ 1 more variable: TOTAL_TRIPS <dbl>

Note that the ORIGIN_PT_CODE and DESTINATION_PT_CODE are in the character (“chr”) data type. However, we would like it to be in the factor (“fctr”) data type for easier categorization and sorting. This can be done by using the as.factor() function.

passenger$ORIGIN_PT_CODE <- as.factor(passenger$ORIGIN_PT_CODE)
passenger$DESTINATION_PT_CODE <- as.factor(passenger$DESTINATION_PT_CODE)

We can use head() to check the data type of the passenger data frame.

head(passenger)
# A tibble: 6 × 7
  YEAR_MONTH DAY_TYPE   TIME_PER_HOUR PT_TYPE ORIGIN_PT_CODE DESTINATION_PT_CODE
  <chr>      <chr>              <dbl> <chr>   <fct>          <fct>              
1 2023-09    WEEKENDS/…            17 BUS     24499          22221              
2 2023-09    WEEKENDS/…            10 BUS     65239          65159              
3 2023-09    WEEKDAY               10 BUS     65239          65159              
4 2023-09    WEEKDAY                7 BUS     23519          23311              
5 2023-09    WEEKENDS/…             7 BUS     23519          23311              
6 2023-09    WEEKENDS/…            11 BUS     52509          42041              
# ℹ 1 more variable: TOTAL_TRIPS <dbl>

Housing Development Board (HDB)

Similarly, the hdb.csv data can be imported using similar methods

hdb <- read_csv('data/aspatial/hdb.csv')

head(hdb)
# A tibble: 6 × 37
   ...1 blk_no street        max_floor_lvl year_completed residential commercial
  <dbl> <chr>  <chr>                 <dbl>          <dbl> <chr>       <chr>     
1     0 1      BEACH RD                 16           1970 Y           Y         
2     1 1      BEDOK STH AV…            14           1975 Y           N         
3     2 1      CANTONMENT RD             2           2010 N           Y         
4     3 1      CHAI CHEE RD             15           1982 Y           N         
5     4 1      CHANGI VILLA…             4           1975 Y           Y         
6     5 1      DELTA AVE                25           1982 Y           N         
# ℹ 30 more variables: market_hawker <chr>, miscellaneous <chr>,
#   multistorey_carpark <chr>, precinct_pavilion <chr>,
#   bldg_contract_town <chr>, total_dwelling_units <dbl>, `1room_sold` <dbl>,
#   `2room_sold` <dbl>, `3room_sold` <dbl>, `4room_sold` <dbl>,
#   `5room_sold` <dbl>, exec_sold <dbl>, multigen_sold <dbl>,
#   studio_apartment_sold <dbl>, `1room_rental` <dbl>, `2room_rental` <dbl>,
#   `3room_rental` <dbl>, other_room_rental <dbl>, lat <dbl>, lng <dbl>, …

As can be seen, the block number, street name, year completed, and many other types of information are included in the hdb data frame for each hdb block.

Unlike passenger, however, the hdb csv file has a column which indicates the longitude and latitude of the each HDB block. This means that it can be visualized using tm_shape().

hdb_sf <- hdb %>%
  st_as_sf(coords = c('lng','lat'),
           crs = 4326) %>%
  st_transform(3414)


tm_shape(mpsz)+
  tm_polygons(col = 'white')+
  tm_shape(hdb_sf)+
  tm_dots(col = 'red')+
  tm_layout(main.title = 'Singapore HDB Apartment Buildings',
            main.title.position = 'center')+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)+
  tm_credits('Sourrce: HDB Property Information from data.gov.sg',
             position = c('left','bottom'))

It can be see that the HDB apartment buildings in Singapore are highly clustered together. This is because HDB buildings are often built into entire neighborhoods to allow for better planning of amenities, transit options, and other government services. This high population concentration potentially allows the capacity of HDB buildings to be a propulsive factors.

Data Preparation

Wrangling Aspatial Data

Filtering the passenger Data Set for Desired Time Frames

For the purpose of this study, the passenger data set needs to be filtered to only contain trips falling within one of the desired time frame: Weekend/Holiday Morning Peak 11am - 2pm (11:00 - 14:00).

This can be accomplished using the filter() function and the dplyr pipe (%>%).

passenger<- passenger %>%   filter(DAY_TYPE == 'WEEKENDS/HOLIDAY') %>%   filter(TIME_PER_HOUR >= 11 & TIME_PER_HOUR <= 14)  

Additionally, the passenger data set should also be filtered for those bus stops which have been filtered out of the busstop data frame due to them being in Malaysia.

Warning

This step is a limitation of this study as there would be major transit flow between Singapore and Johor Bahru during the weekend and holiday. However, as there is no information on the attractiveness of Malaysia (number of retail locations, F&B, etc.), it is not appropriate to include them in this analysis.

passenger <- passenger %>%
  filter(!(ORIGIN_PT_CODE %in% c('46609','47701', '46211', '46219', '46239'))) %>%
  filter(!(DESTINATION_PT_CODE %in% c('46609','47701', '46211', '46219', '46239')))

Tallying Number of Trips by Origin and Destination Bus Stops

After the different trips have been categorized into their separate data frames, the total number trips for each origin bus stop can be tallied into a single statistic for the study period. This can be accomplished using the summarize() function.

Note

The group_by() function is used to instruct R to conduct operations based on the groups created by group_by(). In this case, the summary operations will be done based on the origin bus stop codes.

passenger_tallied <- passenger %>%
  group_by(ORIGIN_PT_CODE, DESTINATION_PT_CODE) %>%
  summarise(TRIPS = sum(TOTAL_TRIPS))


passenger_tallied
# A tibble: 227,837 × 3
# Groups:   ORIGIN_PT_CODE [5,012]
   ORIGIN_PT_CODE DESTINATION_PT_CODE TRIPS
   <fct>          <fct>               <dbl>
 1 01012          01112                 250
 2 01012          01113                 175
 3 01012          01121                 128
 4 01012          01211                 140
 5 01012          01311                 266
 6 01012          01411                   2
 7 01012          01421                   2
 8 01012          01549                  10
 9 01012          01559                   1
10 01012          07371                  19
# ℹ 227,827 more rows

It is possible to visualize the distribution of trips by using creating a histogram using the geom_histogram() of the ggplot2 package.

ggplot(passenger_tallied, aes(x=TRIPS))+
  geom_histogram()+
  theme_classic()+
  ggtitle('Distribution of Bus Trips by Origin-Destination Bus Stops')

Let’s confirm the distribution by checking the descriptive statistics of the number of trips based on the origin and destination bus stop. This can be done using the summary() function.

summary(passenger_tallied$TRIPS)
    Min.  1st Qu.   Median     Mean  3rd Qu.     Max. 
    1.00     2.00     7.00    37.08    22.00 17107.00 

It can be seen that the distribution of trip is heavily skewed with large outliers. Many flows (origin-destination pair) have very few trips, while some outlier flows have a very large number of trips. This is an indication that there might be spatial autocorrelation, that the number of trips depend on the location of the bus stops. However, there might also be spatial interaction, with certain propulsive and attractiveness factors influencing the number of trips between the origin and destination.

Wrangling Geospatial Data

In order to adequately visualize the busstop sf data frame, we need to define a mapping layer. An example of a mapping layer would be to use the Master Plan 2019 Planning Sub-zone created by the Urban Redevelopment Authority (URA). However, for the purpose of this study, a hexagon layer will be used to ensure standardization of the size of each polygon and the evenly spaced gaps between a polygon and its neighbors.

The steps in this section will detail the creation of the hexagon layer using the busstop data frame and visualize the layer on a map of Singapore.

Creating a Hexagon Layer in R

The steps taken in this section is based on the guide provided by Kenneth Wong of Urban Data Palette (link).

Firstly, a hexagon or honeycomb grid can be created based on the busstop data frame using the st_make_grid() function.

Note

There are some notable arguments in the st_make_grid() function:

  • cellsize = c(750,750): This argument indicates the size of each hexagon, calculated as the distance between opposite edges. If the cell size is large, each hexagon can encompasses multiple bus stops, whereas if a smaller cell size can help us differentiate between individual bus stop. However, a smaller cell size with many hexagons will take more time to create. For this study, hexagons of 375m (this distance is the perpendicular distance between the centre of the hexagon and its edges) will be created with the parameter of 750.

  • what = ‘polygons’: We would like to create polygons on a grid.

  • square = FALSE: The default argument is TRUE, which would create a square grid. FALSE is specified in order to create a hexagon grid.

area_honeycomb_grid = st_make_grid(busstop, cellsize = c(750,750), what = 'polygons', square = FALSE)

area_honeycomb_grid
Geometry set for 2299 features 
Geometry type: POLYGON
Dimension:     XY
Bounding box:  xmin: 3220.122 ymin: 26049.09 xmax: 48970.12 ymax: 50947.32
Projected CRS: SVY21 / Singapore TM
First 5 geometries:

The area_honeycomb_grid contains 136906 features of the same Projected CRS as the busstop data frame. If the plot() function is used, the hexagon grid will be displayed. It will show a large hexagon grid overlaid over the map of Singapore.

tmap_mode('plot')
tm_shape(mpsz)+
  tm_polygons()+
  tm_shape(area_honeycomb_grid)+
  tm_polygons()+
  tm_layout(main.title = 'Full Hexagon Grid over Singapore',
            main.title.position = 'center')

The area_honey_comb needs to be converted to a sf data frame for further manipulation using st_sf(). Additionally, we can assign a unique id to each of the hexagon cell in area_honey_comb using mutate().

honeycomb_grid_sf = st_sf(area_honeycomb_grid) %>%
  # add grid ID
  mutate(grid_id = 1:length(lengths(area_honeycomb_grid)))

Following this, we can use lengths() and st_intersect() to determine the allocation of bus stop in each cell. The goal is to create a new column, consisting of the number of bus stop in each of the cell. The filter() function can then be added to remove all cells with no bus stop and create the final sf data frame.

# Counting the number of bus stop in each cell
honeycomb_grid_sf$n_busstop = lengths(st_intersects(honeycomb_grid_sf,busstop))

# Removing all cells without bus stop
honeycomb_count = filter(honeycomb_grid_sf, n_busstop > 0)

honeycomb_count$grid_id <- as.character(honeycomb_count$grid_id)

We can see that there are 1050 hexagon cells in honeycomb_count, indicating that there are 1050 cells with at least 1 bus stops.

At this point, the hexagon grid of bus stop can be drawn onto a map of Singapore using the functions of the tmap package. Additionally, the n_busstop column can be passed to the tm_fill() function to shade the cell based on the number of bus stops in it.

tmap_mode('plot')

bushexmap <-   tm_shape(mpsz)+
  tm_polygons(col = 'white')+
  tm_shape(honeycomb_count)+
  tm_fill(
    col = "n_busstop",
    palette = "Blues",
    style = "cont",
    title = "Number of bus stop",
    id = "grid_id",
    showNA = FALSE,
    alpha = 0.7,
    popup.vars = c(
      "Number of bus stop: " = "n_busstop"
    ),
    popup.format = list(
      n_busstop = list(format = "f", digits = 0)
    )
  ) +
  tm_borders(col = "grey40", lwd = 0.7)+
  tm_layout(main.title = 'Distribution of Bus Stops by Hexagon Cells on Map', main.title.position = 'center')+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)

bushexmap

From the illustration, we can see that each cell might contain up to 14 bus stops. A bar chat can be drawn with the ggplot2 package to visualize the distribution of number of bus stop in each cell.

ggplot(honeycomb_count, aes(x=n_busstop))+   
  geom_bar()+   theme_classic()+   
  geom_text(aes(label = after_stat(count)), stat = "count", vjust = -0.5, colour = "black")+
  ggtitle('Distribution of Bus Stops by Hexagon Cells as Histogram')

As can be seen, the majority of cells contain 1-9 bus stops with only 178 cells containing 10 or more bus stops. This shows that the cells adequately capture solitary bus stop, as well as pairs of bus stops (bus stops which are opposite each other, served by the same bus services).

Combining Aspatial and Geospatial Data

In order to conduct geospatial analysis, a data frame which contains the hexagon cells as well as the number of bus trips for each cells must be created. This must be done in multiple steps

Combining the Origin - Destination Bus Stop Data Frame with Bus Stop Geometry Data Frame

This can be done using the inner_join() function, which will keep all the rows that is in both data frame. By using this argument, it is possible to retain only bus stops which are present in both data frames, eliminating any bus stops which might be present in one but not the other. By

Note

There are important arguments which can be used to create a cleaner combined data frame.

  • by = join_by(ORIGIN_PT_CODE == BUS_STOP_N)): Indicate the column by which the two data frames can be matched and joined. In this case, the origin bus stop code will be used.

  • by = join_by(DESTINATION_PT_CODE == BUS_STOP_N)): Indicate the column by which the two data frames can be matched and joined. In this case, the destination bus stop code will be used.

  • select(1,2,3,6): Indicate the index number of the columns to be kept in the final data frame. Only the bus stop number (column 1), destination bus stop (column 2), total number of trips (column 3), and geometry (column 6) will be kept.

  • replace(is.na(.),0): Replace all value of NA with 0. This is to ensure that bus stop with no trips in a given time frame is accurately tallied at 0.

orig <- inner_join(passenger_tallied, busstop,
                       by = join_by(ORIGIN_PT_CODE == BUS_STOP_N)) %>%
  select(1,2,3,6)%>%
  st_as_sf()

destin <- inner_join(passenger_tallied, busstop,
                   by = join_by(DESTINATION_PT_CODE == BUS_STOP_N)) %>%
  select(1,2,3,6) %>%
  st_as_sf()

Now, there are two separate data frames, one with the point geometry of the origin bus stop, and one with the point geometry of the destination bus stop. However, since the analysis layer consists of different polygons with unique grid_id. It is necessary to aggregate the number of trips to their origin and destination hexagon cells.

This can be performed in multiple steps.

Identifying the Origin and Destination Hexagon Cells’ Grid ID

In order to aggregate the origin and destination bus stops into their hexagon cells, st_join() can be used respectively for each data frame.

Note

The by argument in st_join() can be passed the function st_within to specify that we would like to join the two data frames where the geometry in the latter is within the geometry of the former. In this case, it would mean that two rows will be joined where the bus stop lies within a particular polygon.

st_drop_geometry() is being used to drop the spatial feature of each data frame, this would allow for the combination of the two data frames later using a regular join function.

orig_hex <- st_join(honeycomb_count, orig, by = st_within)%>%
  select(1,3,4,5,6) %>%
  filter(grid_id != 50) %>%
  rename(ORIG_ID = grid_id,
         ORIG_GEOM = area_honeycomb_grid) %>%
  st_drop_geometry()%>%
  na.omit()

destin_hex <- st_join(honeycomb_count, destin, by = st_within)%>%
  select(1,3,4,5,6) %>%
  filter(grid_id != 50) %>%
  rename(DESTIN_ID = grid_id,
         DESTIN_GEOM = area_honeycomb_grid) %>%
  st_drop_geometry() %>%
  na.omit()

Now that there are two data frames, each almost identical to the other with the exception of a column containing the grid id of the origin and destination bus stop respectively. Let’s take a look using head().

head(orig_hex)
    ORIG_ID ORIGIN_PT_CODE DESTINATION_PT_CODE TRIPS
2        40          25751               24719    32
2.1      40          25751               25429     1
2.2      40          25751               25709     2
2.3      40          25751               25771     3
3        42          26369               24009    21
3.1      42          26369               24049     1
head(destin_hex)
    DESTIN_ID ORIGIN_PT_CODE DESTINATION_PT_CODE TRIPS
2          40          25421               25751     3
2.1        40          25681               25751     1
2.2        40          25691               25751    13
2.3        40          25701               25751     7
2.4        40          25711               25751     1
3          42          24009               26369    73

Creating a Origin - Destination Hexagon Cells’ Grid ID Data Frame

The next step is to create a combined data frame which has both the origin and destination hexagon cell grid id and tally the total number of trips for each pair. This can be done using inner_join() and summarise().

combined_hex <- inner_join(orig_hex, destin_hex, by = join_by (ORIGIN_PT_CODE == ORIGIN_PT_CODE,DESTINATION_PT_CODE == DESTINATION_PT_CODE)) %>%
  select(ORIG_ID, DESTIN_ID, TRIPS.x) %>%
  group_by(ORIG_ID, DESTIN_ID) %>%
  summarise(TOTAL_TRIP = sum(TRIPS.x))

head(combined_hex)
# A tibble: 6 × 3
# Groups:   ORIG_ID [2]
  ORIG_ID DESTIN_ID TOTAL_TRIP
  <chr>   <chr>          <dbl>
1 100     101                4
2 100     119                2
3 100     122              108
4 100     141               52
5 100     368               48
6 1001    1002              12

Next, it is possible to check for duplicate record and proceed to remove them.

duplicate <- combined_hex %>%
  group_by_all() %>%
  filter(n()>1) %>%
  ungroup()

combined_hex <- unique(combined_hex)

head(combined_hex)
# A tibble: 6 × 3
# Groups:   ORIG_ID [2]
  ORIG_ID DESTIN_ID TOTAL_TRIP
  <chr>   <chr>          <dbl>
1 100     101                4
2 100     119                2
3 100     122              108
4 100     141               52
5 100     368               48
6 1001    1002              12

Before moving on, it is important to check if there are any intra-zonal trips in the data frame. This is because these trips will not be included in the spatial interaction model and should be filtered out.

combined_hex %>%
  filter(ORIG_ID == DESTIN_ID)
# A tibble: 582 × 3
# Groups:   ORIG_ID [582]
   ORIG_ID DESTIN_ID TOTAL_TRIP
   <chr>   <chr>          <dbl>
 1 1004    1004            6071
 2 101     101                4
 3 1010    1010               6
 4 1011    1011              15
 5 1013    1013             205
 6 1014    1014              47
 7 1023    1023             110
 8 1024    1024             520
 9 1025    1025               7
10 1028    1028               7
# ℹ 572 more rows

As can be seen, there are 582 intra-zonal trip pair. filter() can be used to remove them.

combined_hex <- combined_hex %>%
  filter(!(ORIG_ID == DESTIN_ID))

Creating a Origin-Destination Matrix

Aside from having the total number of trips between each origin and destination hexagon, an origin-destination matrix (O-D Matrix) is also required. This matrix will display the geographical distance between the centroid of each hexagon cell in the grid. To create a OD-Matrix will require multiple steps.

First, the hexagon cells object (honeycomb_count should be stored as a SpatialPolygonDataFrame object.

honeycomb_count_filtered <- honeycomb_count %>%   
  select(1,2)  

honeycomb_count_filtered <- as(honeycomb_count_filtered, 'Spatial')

Next, the distance between each hexagon cell can be calculated using the spDists() function of the sp package.

dists <- sp::spDists(honeycomb_count_filtered, longlat = FALSE)

dists[1:5,1:5]
         [,1]     [,2]     [,3]     [,4]     [,5]
[1,]    0.000  750.000 3269.174 1500.000 2704.163
[2,]  750.000    0.000 2598.076  750.000 1984.313
[3,] 3269.174 2598.076    0.000 1984.313  750.000
[4,] 1500.000  750.000 1984.313    0.000 1299.038
[5,] 2704.163 1984.313  750.000 1299.038    0.000

As can be seen, the dists matrix consists of the distance between each hexagon cell. For example, the hexagon cell in position 2 is 750 distance unit away from the hexagon cell in position 1. However, this would not be conducive to analysis and it would be preferable to store the column and row ids as the grid ID of the hexagon cells.

grid_id <- honeycomb_count$grid_id  
colnames(dists) <- paste0(grid_id) 
rownames(dists) <- paste0(grid_id)  
dists[1:5,1:5]
         21       40       42       60       61
21    0.000  750.000 3269.174 1500.000 2704.163
40  750.000    0.000 2598.076  750.000 1984.313
42 3269.174 2598.076    0.000 1984.313  750.000
60 1500.000  750.000 1984.313    0.000 1299.038
61 2704.163 1984.313  750.000 1299.038    0.000

It is possible to see now the distance between each hexagon cell using their cell id. As the matrix is a in the wide format, melt() of the reshaper package can be used to transform it into the long format for easier analysis.

distPair <- melt(dists) %>%   
  rename(dists = value)  

distPair <- distPair %>%   
  rename(ORIG_ID = Var1, DESTIN_ID = Var2)

head(distPair)
  ORIG_ID DESTIN_ID    dists
1      21        21    0.000
2      40        21  750.000
3      42        21 3269.174
4      60        21 1500.000
5      61        21 2704.163
6      62        21 3968.627

Lastly, what to do with intra-zonal travel must be decided. For example, as can be seen above, the travel distance between grid_id 21 and 21 is 0. As the model will not be calibrated to handle intra-zonal trips, they will be excluded from the final data frame. For now, it is possible to filter them out of the origin-destination matrix using filter().

distPair <- distPair %>%
  filter(!(dists == 0))

head(distPair)
  ORIG_ID DESTIN_ID    dists
1      40        21  750.000
2      42        21 3269.174
3      60        21 1500.000
4      61        21 2704.163
5      62        21 3968.627
6      78        21 1299.038

Preparing Final Data Frame for Spatial Interaction Modelling

Tabulating Features

In order to define the propulsive and attractive factors of the origin and destination cells, it is important to tabulate the number of different features/venues in the different cells in the aggregate level. For example, the aggregate number of Retail locations in a cell must be tabulated. The tabulation will be appended to the honeycomb_count data frame in order to have the count for each grid id, before joining it to other data frame later on. This can be accomplished using st_intersects() and lengths().

flow_data <- honeycomb_count %>%
  rename(geometry = area_honeycomb_grid)

flow_data$Entertainment <- lengths(st_intersects(flow_data, Entertainment))

flow_data$FoodBev <- lengths(st_intersects(flow_data, FoodBev))

flow_data$Retails <- lengths(st_intersects(flow_data, Retails))

flow_data$FinServ <- lengths(st_intersects(flow_data, FinServ))

flow_data$Leisure <- lengths(st_intersects(flow_data, Leisure))

In order to add information from our HDB files, we require an extra level of tabulation as the different HDB blocks can accommodate different number of people. Therefore, the number of people in each HDB block is better approximated through the number of dwelling units and the capacity. The capacity is based on the following link:

  • 1room_sold: 1 person

  • 2room_sold: 2 people

  • 3room_sold: 3 people (2 parents and 1 child)

  • 4room_sold: 4 people (2 parents and 2 children)

  • 5room_sold: 5 people (2 parents and 3 children)

  • exec_sold: 4 people (2 parents and 2 children)

  • multigen_sold: 6 people (2 grandparents, 2 parents, and 2 children)

  • studio_apartment_sold: 1 person

  • 1room_rental: 1 person

  • 2room_rental: 2 people

  • 3room_rental: 3 people

  • other_room_rental: 2 people

A new column should be created in the hdb data frame to store the capacity of each hdb block.

Warning

Two important assumptions are made in tabulating this figure which might not apply for all situations:

  1. Rentals are not taken into consideration: Renters, such as single professionals, foreign workers, students, etc. might not conform to the traditional family structure.
  2. Traditional family structure assumed: The nuclear family structure is assumed for each flat type. This might be discordant with reality in certain cases.
hdb_capacity <- hdb_sf %>%
  mutate(capacity = `1room_sold`*1 +
           `2room_sold` * 2+
           `3room_sold` * 3+
           `4room_sold` * 4+
           `5room_sold` * 5+
           `exec_sold` * 4+
           `multigen_sold` * 6+
           `studio_apartment_sold`*1+
           `1room_rental` * 1+
           `2room_rental` * 2+
           `3room_rental` * 3+
           `other_room_rental` * 2) %>%
  select(blk_no, geometry, capacity)


hdb_grid <- st_join(honeycomb_count, hdb_capacity, by = st_within)%>%
  select(1,4,5)%>%
  group_by(grid_id) %>%
  summarise(TOTAL_CAPACITY = sum(capacity)) %>%
  replace_na(list(TOTAL_CAPACITY = 0))

Before the number of train stations is tabulated, it is important to consider how a train station is determined to be within a zone. Due to the polygon nature of train stations, they might stretch beyond two hexagon cells. This can be visualized using tmap.

tmap_mode('view')
tm_shape(honeycomb_count)+
  tm_fill(alpha = 0.3)+
  tm_borders(alpha = 0.5)+
  tm_shape(trainstation)+
  tm_fill(col = 'blue',
          id = 'STN_NAM_DE')+
  tm_shape(trainexit)+
  tm_dots(col = 'red',
          id = 'exit_code')+
  tm_view(set.zoom.limits = c(11,16))+
  tm_layout(title = 'Train Station Location and Hexagon Cells', title.position = c('right','top'))

Though many examples can be found, one is highlighted in the image below. The One-North MRT station stretches from hexagon cell with grid id 974 to hexagon cell with grid id 992.

One-North MRT Station Between Two Hexagons

One-North MRT Station Between Two Hexagons

It would be more appropriate to consider that both of these cells contain One-North MRT station as practically speaking, residents in both area would have access to it and would use it. The location of exits, albeit important, would not be a good indicator as residents in cells which do not contain a station exit but do contain a train station can walk to the exit located at a negligible distance away, as no train station is sufficiently large to make this an unfeasible option.

The tabulation can be accomplished using st_intersects() and st_lengths().

Warning

A major limitation of this study is the failure to consider train stations which might not be within any hexagon cell but are within a certain proximity of of a cell. For example, in the image below, residents of cell 992 could practically consider walking to Kent Ridge MRT station right below instead of using One-North MRT. By this definition, cell 992 would actually have 2 train stations.

However, due to technical limitations, this study would not include this approach.

flow_data$trainstation <- lengths(st_intersects(flow_data, trainstation))

glimpse(flow_data)
Rows: 831
Columns: 9
$ grid_id       <chr> "21", "40", "42", "60", "61", "62", "78", "79", "80", "8…
$ n_busstop     <int> 1, 1, 2, 1, 4, 1, 1, 1, 4, 2, 1, 3, 2, 5, 2, 1, 1, 5, 3,…
$ geometry      <POLYGON [m]> POLYGON ((3970.122 27348.13..., POLYGON ((4345.1…
$ Entertainment <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ FoodBev       <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Retails       <int> 0, 0, 0, 0, 5, 0, 0, 0, 5, 1, 3, 1, 1, 4, 0, 0, 0, 0, 0,…
$ FinServ       <int> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ Leisure       <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…
$ trainstation  <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,…

Let’s consider the descriptive statistics of the variables using the summary() function.

summary(flow_data)
   grid_id            n_busstop               geometry   Entertainment   
 Length:831         Min.   : 1.000   POLYGON      :831   Min.   :0.0000  
 Class :character   1st Qu.: 3.000   epsg:3414    :  0   1st Qu.:0.0000  
 Mode  :character   Median : 6.000   +proj=tmer...:  0   Median :0.0000  
                    Mean   : 6.205                       Mean   :0.1336  
                    3rd Qu.: 9.000                       3rd Qu.:0.0000  
                    Max.   :19.000                       Max.   :9.0000  
    FoodBev           Retails          FinServ           Leisure      
 Min.   :  0.000   Min.   :   0.0   Min.   :  0.000   Min.   : 0.000  
 1st Qu.:  0.000   1st Qu.:   1.0   1st Qu.:  0.000   1st Qu.: 0.000  
 Median :  0.000   Median :   8.0   Median :  1.000   Median : 0.000  
 Mean   :  2.212   Mean   :  44.2   Mean   :  3.936   Mean   : 1.312  
 3rd Qu.:  1.000   3rd Qu.:  37.0   3rd Qu.:  4.000   3rd Qu.: 1.000  
 Max.   :133.000   Max.   :1678.0   Max.   :139.000   Max.   :41.000  
  trainstation   
 Min.   :0.0000  
 1st Qu.:0.0000  
 Median :0.0000  
 Mean   :0.3406  
 3rd Qu.:1.0000  
 Max.   :6.0000  

Visualizing Features Distribution

Let’s visualize the distribution of the different features in each cell.

Note

The style argument of tm_fill is passed with “jenks” in order for tmap to “divides the features into classes whose boundaries are where there are relatively big differences in the data values” (Reference), which allow for better visualization of skewed values with little variation.

tmap_mode('plot')

ent <- tm_shape(mpsz)+
  tm_polygons(col='white')+
  tm_shape(flow_data)+
  tm_fill(col = 'Entertainment',
          style = 'jenks',
          palette = 'Reds',
          alpha = 0.7)+
  tm_borders(alpha = 0.5)+
  tm_layout(main.title = 'Entertainment Distribution by Hexagon Cells', main.title.position = 'center', main.title.size = 1.5)+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)

ent

leis <- tm_shape(mpsz)+
  tm_polygons(col='white')+
  tm_shape(flow_data)+
  tm_fill(col = 'Leisure',
          style = 'jenks',
          palette = 'Reds',
          alpha = 0.7)+
  tm_borders(alpha = 0.5)+
  tm_layout(main.title = 'Leisure Distribution by Hexagon Cells', main.title.position = 'center', main.title.size = 1.5)+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)

leis

fin <- tm_shape(mpsz)+
  tm_polygons(col='white')+
  tm_shape(flow_data)+
  tm_fill(col = 'FinServ',
          style = 'jenks',
          palette = 'Reds',
          alpha = 0.7)+
  tm_borders(alpha = 0.5)+
  tm_layout(main.title = 'Financial Service Distribution by Hexagon Cells', main.title.position = 'center', main.title.size = 1.5)+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)

fin

ret <- tm_shape(mpsz)+
  tm_polygons(col='white')+
  tm_shape(flow_data)+
  tm_fill(col = 'Retails',
          style = 'jenks',
          palette = 'Reds',
          alpha = 0.7)+
  tm_borders(alpha = 0.5)+
  tm_layout(main.title = 'Retails Distribution by Hexagon Cells', main.title.position = 'center', main.title.size = 1.5)+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)

ret

fb <- tm_shape(mpsz)+
  tm_polygons(col='white')+
  tm_shape(flow_data)+
  tm_fill(col = 'FoodBev',
          style = 'jenks',
          palette = 'Reds',
          alpha = 0.7)+
  tm_borders(alpha = 0.5)+
  tm_layout(main.title = 'F&B Distribution by Hexagon Cells', main.title.position = 'center', main.title.size = 1.5)+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)

fb

train <- tm_shape(mpsz)+
  tm_polygons(col='white')+
  tm_shape(flow_data)+
  tm_fill(col = 'trainstation',
          style = 'jenks',
          palette = 'Reds',
          alpha = 0.7)+
  tm_borders(alpha = 0.5)+
  tm_layout(main.title = 'Train Station Distribution by Hexagon Cells', main.title.position = 'center', main.title.size = 1.5)+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)

train

Even though there are wide variation in the values of the different type of venues, one common feature among the graphs is that the highest concentration tend to be around the Downtown area, also known as the Downtown Core, of Singapore. Potentially, this might be a major attractive feature for the downtown flow of visitors. This can be determined when the Spatial Interaction Model is created.

Removing Zero Values

It is important to note that there are many zeroes in the data set, which would not be appropriate for the creation of a spatial interaction mode as a log function might be applied to reduce the skewness in the distribution of variables. When a log function is applied to a zero value, it would result in a minus infinity value. This can be accomplished using the ifelse() function.

flow_data$Entertainment <- ifelse(flow_data$Entertainment == 0, 0.99, flow_data$Entertainment)

flow_data$FoodBev <- ifelse(flow_data$FoodBev == 0, 0.99, flow_data$FoodBev)

flow_data$Retails <- ifelse(flow_data$Retails == 0, 0.99, flow_data$Retails)

flow_data$FinServ <- ifelse(flow_data$FinServ == 0, 0.99, flow_data$FinServ)

flow_data$Leisure <- ifelse(flow_data$Leisure == 0, 0.99, flow_data$Leisure)

flow_data$trainstation <- ifelse(flow_data$trainstation == 0, 0.99, flow_data$trainstation)

hdb_grid$TOTAL_CAPACITY <- ifelse(hdb_grid$TOTAL_CAPACITY == 0, 0.99, hdb_grid$TOTAL_CAPACITY)

Creating and Visualizing Flowline

Before a spatial interaction model is created, let’s create a visualization of the flow lines between the hexagon cells. The width of the flow lines will depend on the number of trips between the hexagon cells. The geometry of the flow line can be created using the od2line() function of the stplanr package.

Note

There are important arguments in od2line:

  • flow: A data frame represeenting the origin-destination data. The first column should be the same as the first column of the data in the zones dataframe.

  • zones: The origin and destination of the travels should be passed here.

  • zone_code: Name of the variable in zones containing the ids of the zones.

flowLine <- od2line(flow = combined_hex, 
        zones = honeycomb_count,
        zone_code = 'grid_id')

head(flowLine)
Simple feature collection with 6 features and 3 fields
Geometry type: LINESTRING
Dimension:     XY
Bounding box:  xmin: 5470.122 ymin: 31678.25 xmax: 23095.12 ymax: 44019.12
Projected CRS: SVY21 / Singapore TM
  ORIG_ID DESTIN_ID TOTAL_TRIP                       geometry
1     100       101          4 LINESTRING (5470.122 31678....
2     100       119          2 LINESTRING (5470.122 31678....
3     100       122        108 LINESTRING (5470.122 31678....
4     100       141         52 LINESTRING (5470.122 31678....
5     100       368         48 LINESTRING (5470.122 31678....
6    1001      1002         12 LINESTRING (23095.12 42720....

In the flowLine object, there is a new column which contains the line string geometry connecting the origin and destination hexagon cells. Now, it can be visualized using the tmap package.

Warning

Due to the large number of lines (more than 60,000 entries in flowLine), it is not advisable to visualize all the lines as it will result in large processing time and an incomprehensible graphic. Therefore, only lines representing a large number of trips should be visualized. We can choose to visualize lines representing 750 trips or more.

tmap_mode('plot')

tm_shape(mpsz)+
  tm_polygons(col = 'white')+
  tm_shape(honeycomb_count)+
  tm_fill(alpha = 0.5)+
  tm_borders(col='black')+
  flowLine %>%
  filter(TOTAL_TRIP >= 750) %>%
  tm_shape()+
  tm_lines(lwd = 'TOTAL_TRIP',
           col = 'red',
           style = 'quantile',
           palette = 'Reds',
           scale = c(0.1, 1, 3, 5, 7, 10),
           n = 6,
           alpha = 0.3)+
  tm_layout(main.title = 'Weekdend/Holiday Morning Peak Flowline - Quantile', main.title.position = 'center', scale = 0.7)+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)

tm_shape(mpsz)+
  tm_polygons(col = 'white')+
  tm_shape(honeycomb_count)+
  tm_fill(alpha = 0.5)+
  tm_borders(col='black')+
  flowLine %>%
  filter(TOTAL_TRIP >= 750) %>%
  tm_shape()+
  tm_lines(lwd = 'TOTAL_TRIP',
           col = 'red',
           style = 'jenks',
           palette = 'Reds',
           scale = c(0.1, 1, 3, 5, 7, 10),
           n = 6,
           alpha = 0.3)+
  tm_layout(main.title = 'Weekdend/Holiday Morning Peak Flowline - Jenks', main.title.position = 'center', scale = 0.7)+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)

tm_shape(mpsz)+
  tm_polygons(col = 'white')+
  tm_shape(honeycomb_count)+
  tm_fill(alpha = 0.5)+
  tm_borders(col='black')+
  flowLine %>%
  filter(TOTAL_TRIP >= 750) %>%
  tm_shape()+
  tm_lines(lwd = 'TOTAL_TRIP',
           col = 'red',
           style = 'equal',
           palette = 'Reds',
           scale = c(0.1, 1, 3, 5, 7, 10),
           n = 6,
           alpha = 0.3)+
  tm_layout(main.title = 'Weekdend/Holiday Morning Peak Flowline - Equal', main.title.position = 'center', scale = 0.7)+
  tm_compass(type='8star',size=2)+
  tm_scale_bar()+
  tm_grid(alpha = 0.2)

Though there are numerous flow lines on the map, it is possible to identify that there are major clusters on the map where many lines converge and where thicker lines can be found. These usually are the major bus interchanges where many bus stops and starts, and which are located near population centres and shopping malls. There are numerous thinner red lines in the downtown area of Singapore, showing shorter trips on lower intensity lines. The distribution of numerous thin flow lines potentially indicates that commuters in this area are more distributed rather than concentrated in key points, implying diverse options for commuters during the Weekend/Holiday Morning.

It is also interesting to note that despite the different style arguments passed to tm_line(), the plots remain the same.

By creating a Spatial Interaction Model, it would be possible to determine what are the push and pull factors between the different origin and destination cells.

Spatial Interaction Model

Currently, there are three separate data frames, all containing required information for the Spatial Interaction Model. It is important to join them together using inner_join().

Creating the Spatial Interaction Data Frame

The three data frames which require joining are:

  1. combined_hex: Containing the number of trips between each pair of Origin and Destination hexagon cell grid ID.
  2. distPair: Containing the distance between each pair of Origin and Destination hexagon cell grid ID.
  3. flow_data: Containing the number of bus stops, entertainment venues, retail stores, etc. in each hexagon cell based on their grid ID
flow_data_drop_geom <- flow_data %>%
  st_drop_geometry()

hdb_grid_drop_geom <- hdb_grid %>%
  st_drop_geometry()

distPair$ORIG_ID <- as.character(distPair$ORIG_ID)
distPair$DESTIN_ID <- as.character(distPair$DESTIN_ID)

final_df <- inner_join(combined_hex, distPair,
                       by = join_by(ORIG_ID == ORIG_ID,
                                    DESTIN_ID == DESTIN_ID)) 

final_df <- inner_join(final_df, flow_data_drop_geom,
                       by = join_by(ORIG_ID == grid_id)) %>%
  rename(ORIG.Entertainment = Entertainment,
         ORIG.FoodBev = FoodBev,
         ORIG.Retails = Retails,
         ORIG.FinServ = FinServ,
         ORIG.Leisure = Leisure,
         ORIG.trainstation = trainstation,
         ORIG.busstop = n_busstop)

final_df <- inner_join(final_df, hdb_grid_drop_geom,
                       by = join_by(ORIG_ID == grid_id)) %>%
  rename(ORIG.capacity = TOTAL_CAPACITY)

final_df <- inner_join(final_df, flow_data_drop_geom,
                       by = join_by(DESTIN_ID == grid_id)) %>%
  rename(DESTIN.Entertainment = Entertainment,
         DESTIN.FoodBev = FoodBev,
         DESTIN.Retails = Retails,
         DESTIN.FinServ = FinServ,
         DESTIN.Leisure = Leisure,
         DESTIN.trainstation = trainstation,
         DESTIN.busstop = n_busstop)

final_df <- inner_join(final_df, hdb_grid_drop_geom,
                       by = join_by(DESTIN_ID == grid_id)) %>%
  rename(DESTIN.capacity = TOTAL_CAPACITY)

final_df
# A tibble: 62,705 × 20
# Groups:   ORIG_ID [817]
   ORIG_ID DESTIN_ID TOTAL_TRIP dists ORIG.busstop ORIG.Entertainment
   <chr>   <chr>          <dbl> <dbl>        <int>              <dbl>
 1 100     101                4 1299.            2               0.99
 2 100     119                2  750.            2               0.99
 3 100     122              108 4562.            2               0.99
 4 100     141               52 3969.            2               0.99
 5 100     368               48 5858.            2               0.99
 6 1001    1002              12 1299.            1               0.99
 7 1001    1040               8 1500.            1               0.99
 8 1001    1097               5 1984.            1               0.99
 9 1001    1115               4 2250             1               0.99
10 1001    1152               3 3269.            1               0.99
# ℹ 62,695 more rows
# ℹ 14 more variables: ORIG.FoodBev <dbl>, ORIG.Retails <dbl>,
#   ORIG.FinServ <dbl>, ORIG.Leisure <dbl>, ORIG.trainstation <dbl>,
#   ORIG.capacity <dbl>, DESTIN.busstop <int>, DESTIN.Entertainment <dbl>,
#   DESTIN.FoodBev <dbl>, DESTIN.Retails <dbl>, DESTIN.FinServ <dbl>,
#   DESTIN.Leisure <dbl>, DESTIN.trainstation <dbl>, DESTIN.capacity <dbl>

Visualizing the Dependent Variable

Let’s plot the distribution of the dependent variable (TOTAL_TRIP) by making a histogram with ggplot2.

ggplot(final_df, aes(x = TOTAL_TRIP))+
  geom_histogram()+
  theme_classic()+
  ggtitle('Distribution of Total Trips by Hexagon Cells as Histogram')

The distribution is highly skewed and does not resemble a bell shape, also known as the normal distribution.

Now, we can visualize the relation between the dependent variable and one of the independent variable (distance between zones) in the Spatial Interaction Mode.

ggplot(final_df,
       aes(x = dists,
           y = TOTAL_TRIP))+
  geom_point()+
  geom_smooth(method = lm)+
  ggtitle('Relationship between Total Trips and Distance between Hexagon Centroid')

The relationship does not resemble a linear relationship.

However, if we create a scatter plot using the log transformed version of these variables, the relationship will better resemble a linear relationship.

ggplot(final_df,
       aes(x = log(dists),
           y = log(TOTAL_TRIP)))+
  geom_point()+
  geom_smooth(method = lm)+
  ggtitle('Relationship between Log-transformed Total Trips and Log-transformed Distance between Hexagon Centroid')

Due to the usage of hexagon cells, the distance between the centroids of many cells are fixed, making the scatter plots appear discrete instead of continuous. For example, for all hexagon cells next to each other, the distance between their centroids would always be 750.

R-squared Function

In order to measure how much variation of the trips can be accounted by the model, we will calculate the R-squared value. The R-squared value indicates the amount variation in the dependent variable which is explained by the model.

CalcRSquared <- function(observed,estimated){
  r <- cor(observed, estimated)
  R2 <- r^2
  R2
}

Unconstrained Model

glm() can be used to calibrate an unconstrained spatial interaction model. Our explanatory variables are origin number of different venues, destination number of different venues and distance between origin and destination in km (i.e. dists).

uncSIM <- glm(TOTAL_TRIP ~
                log(ORIG.trainstation)+
                log(ORIG.busstop)+
                log(ORIG.capacity)+
                log(DESTIN.Entertainment)+
                log(DESTIN.Retails)+
                log(DESTIN.Leisure)+
                log(DESTIN.FinServ)+
                log(DESTIN.FoodBev)+
                log(DESTIN.trainstation)+
                log(DESTIN.busstop)+
                log(dists),
              family = poisson(link = 'log'),
              data = final_df,
              na.action = na.exclude)
summary(uncSIM)

Call:
glm(formula = TOTAL_TRIP ~ log(ORIG.trainstation) + log(ORIG.busstop) + 
    log(ORIG.capacity) + log(DESTIN.Entertainment) + log(DESTIN.Retails) + 
    log(DESTIN.Leisure) + log(DESTIN.FinServ) + log(DESTIN.FoodBev) + 
    log(DESTIN.trainstation) + log(DESTIN.busstop) + log(dists), 
    family = poisson(link = "log"), data = final_df, na.action = na.exclude)

Coefficients:
                            Estimate Std. Error   z value Pr(>|z|)    
(Intercept)               13.3297473  0.0040704  3274.822   <2e-16 ***
log(ORIG.trainstation)     0.1702165  0.0011127   152.971   <2e-16 ***
log(ORIG.busstop)          0.5249289  0.0008685   604.379   <2e-16 ***
log(ORIG.capacity)         0.0912538  0.0001166   782.679   <2e-16 ***
log(DESTIN.Entertainment)  0.0260376  0.0012668    20.555   <2e-16 ***
log(DESTIN.Retails)       -0.0286914  0.0003824   -75.021   <2e-16 ***
log(DESTIN.Leisure)       -0.1520065  0.0006446  -235.826   <2e-16 ***
log(DESTIN.FinServ)        0.5390824  0.0005531   974.652   <2e-16 ***
log(DESTIN.FoodBev)       -0.0992549  0.0004645  -213.677   <2e-16 ***
log(DESTIN.trainstation)   0.0114316  0.0012571     9.093   <2e-16 ***
log(DESTIN.busstop)        0.4131771  0.0008193   504.277   <2e-16 ***
log(dists)                -1.4529893  0.0004381 -3316.417   <2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for poisson family taken to be 1)

    Null deviance: 29522779  on 62704  degrees of freedom
Residual deviance: 12829700  on 62693  degrees of freedom
AIC: 13126825

Number of Fisher Scoring iterations: 6

It can be seen that all p-value of each factor is much lower than 0.05, showing that they are all statistically significant. Based on the coefficients value, it is possible to make certain observation. Generally, a positive coefficient value indicates that each increase in the variable would correlate to an increase in the dependent variable. The opposite is true for a negative value, an increase in the variable would result in a decrease in the dependent variable.

However, before looking at the values of the coefficient, a model comparison should be done first in order to identify the most appropriate model. Firstly, let’s consider the R-Squared value

The R-Squared value can be calculated using the function defined earlier.

CalcRSquared(uncSIM$data$TOTAL_TRIP, uncSIM$fitted.values)
[1] 0.3363487

The R-Squared value indicates that the model can account for roughly 33.63% of the variation in the number of trips between each pair of origin-destination.

Origin Constrained Model

In an Origin Constrained Model, the origin cells will have no parameters as it is assumed to be a known constraint. According to Farmer & Oshan (2017), the Origin Constrained Model is used to “reproduce the observed out flows from each origin and allocate them to the various destinations.”

orcSIM <- glm(TOTAL_TRIP ~
                ORIG_ID+
                log(DESTIN.Entertainment)+
                log(DESTIN.Retails)+
                log(DESTIN.Leisure)+
                log(DESTIN.FinServ)+
                log(DESTIN.FoodBev)+
                log(DESTIN.trainstation)+
                log(DESTIN.busstop)+
                log(dists),
              family = poisson(link = 'log'),
              data = final_df,
              na.action = na.exclude)
summary(orcSIM)

Call:
glm(formula = TOTAL_TRIP ~ ORIG_ID + log(DESTIN.Entertainment) + 
    log(DESTIN.Retails) + log(DESTIN.Leisure) + log(DESTIN.FinServ) + 
    log(DESTIN.FoodBev) + log(DESTIN.trainstation) + log(DESTIN.busstop) + 
    log(dists), family = poisson(link = "log"), data = final_df, 
    na.action = na.exclude)

Coefficients:
                            Estimate Std. Error   z value Pr(>|z|)    
(Intercept)               14.3168890  0.0684442   209.176  < 2e-16 ***
ORIG_ID1001                1.6555462  0.0708681    23.361  < 2e-16 ***
ORIG_ID1002               -1.7664764  0.1442311   -12.248  < 2e-16 ***
ORIG_ID1003               -0.7075362  0.0784987    -9.013  < 2e-16 ***
ORIG_ID1004                3.0303828  0.0684312    44.284  < 2e-16 ***
ORIG_ID1005                0.9134868  0.0704231    12.971  < 2e-16 ***
ORIG_ID101                 2.7311790  0.0698209    39.117  < 2e-16 ***
ORIG_ID1010               -0.1895099  0.0708263    -2.676 0.007457 ** 
ORIG_ID1011               -0.9421933  0.0727085   -12.959  < 2e-16 ***
ORIG_ID1012               -1.4632236  0.0769047   -19.026  < 2e-16 ***
ORIG_ID1013                0.1153810  0.0695558     1.659 0.097151 .  
ORIG_ID1014               -0.3221054  0.0716167    -4.498 6.87e-06 ***
ORIG_ID102                -2.6311909  0.1870189   -14.069  < 2e-16 ***
ORIG_ID1023                1.5490554  0.0688895    22.486  < 2e-16 ***
ORIG_ID1024                1.5654816  0.0687637    22.766  < 2e-16 ***
ORIG_ID1025                1.7950376  0.0693648    25.878  < 2e-16 ***
ORIG_ID1028               -0.5085290  0.0716416    -7.098 1.26e-12 ***
ORIG_ID1030               -1.3785110  0.0792065   -17.404  < 2e-16 ***
ORIG_ID1031                0.8423268  0.0688394    12.236  < 2e-16 ***
ORIG_ID1033                0.5719681  0.0692806     8.256  < 2e-16 ***
ORIG_ID1040               -0.6527404  0.0919853    -7.096 1.28e-12 ***
ORIG_ID1041                0.2860165  0.0716118     3.994 6.50e-05 ***
ORIG_ID1042                1.6077856  0.0686863    23.408  < 2e-16 ***
ORIG_ID1043                0.7508619  0.0695065    10.803  < 2e-16 ***
ORIG_ID1048               -0.5745602  0.0709568    -8.097 5.62e-16 ***
ORIG_ID1049                0.3920723  0.0690761     5.676 1.38e-08 ***
ORIG_ID1050                1.2665226  0.0686481    18.449  < 2e-16 ***
ORIG_ID1061                1.8542722  0.0687456    26.973  < 2e-16 ***
ORIG_ID1062                2.1005459  0.0686281    30.608  < 2e-16 ***
ORIG_ID1063                0.2012854  0.0711878     2.828 0.004691 ** 
ORIG_ID1064               -2.3026871  0.2042323   -11.275  < 2e-16 ***
ORIG_ID1066                0.2162717  0.0694895     3.112 0.001856 ** 
ORIG_ID1067                0.5992739  0.0689655     8.689  < 2e-16 ***
ORIG_ID1068                1.1894613  0.0686653    17.323  < 2e-16 ***
ORIG_ID1069                0.2775611  0.0692063     4.011 6.06e-05 ***
ORIG_ID1071               -0.3686483  0.0711070    -5.184 2.17e-07 ***
ORIG_ID1078               -1.4491693  0.0992693   -14.598  < 2e-16 ***
ORIG_ID1080                1.3216863  0.0690361    19.145  < 2e-16 ***
ORIG_ID1081                1.0928411  0.0691083    15.813  < 2e-16 ***
ORIG_ID1082                0.3850263  0.0711281     5.413 6.19e-08 ***
ORIG_ID1086                0.0864073  0.0695716     1.242 0.214240    
ORIG_ID1087                0.6710640  0.0689750     9.729  < 2e-16 ***
ORIG_ID1089                0.7155078  0.0690222    10.366  < 2e-16 ***
ORIG_ID1090               -0.2122702  0.0703139    -3.019 0.002537 ** 
ORIG_ID1097                0.4100765  0.0784516     5.227 1.72e-07 ***
ORIG_ID1100                1.5058322  0.0688267    21.879  < 2e-16 ***
ORIG_ID1101               -0.6199408  0.0856338    -7.239 4.51e-13 ***
ORIG_ID1102               -0.3209560  0.0771406    -4.161 3.17e-05 ***
ORIG_ID1104                0.9951545  0.0688299    14.458  < 2e-16 ***
ORIG_ID1105                0.7694215  0.0687831    11.186  < 2e-16 ***
ORIG_ID1106                0.4297756  0.0705324     6.093 1.11e-09 ***
ORIG_ID1107               -0.3186017  0.0705572    -4.516 6.32e-06 ***
ORIG_ID1108                0.0126255  0.0698828     0.181 0.856629    
ORIG_ID1115               -1.3576567  0.1030806   -13.171  < 2e-16 ***
ORIG_ID1116                0.0601221  0.0851123     0.706 0.479948    
ORIG_ID1119               -0.4406724  0.0718899    -6.130 8.80e-10 ***
ORIG_ID1120                0.3063363  0.0712833     4.297 1.73e-05 ***
ORIG_ID1123               -0.2677879  0.0701386    -3.818 0.000135 ***
ORIG_ID1124                0.1764377  0.0693273     2.545 0.010928 *  
ORIG_ID1125                0.7496110  0.0687916    10.897  < 2e-16 ***
ORIG_ID1128                0.5886406  0.0691500     8.513  < 2e-16 ***
ORIG_ID1138                0.2243287  0.0702061     3.195 0.001397 ** 
ORIG_ID1139                1.3182548  0.0691296    19.069  < 2e-16 ***
ORIG_ID1140                0.6315238  0.0706496     8.939  < 2e-16 ***
ORIG_ID1142               -0.3986069  0.0703314    -5.668 1.45e-08 ***
ORIG_ID1143                1.1315078  0.0686525    16.482  < 2e-16 ***
ORIG_ID1144               -0.1792730  0.0701067    -2.557 0.010554 *  
ORIG_ID1145                0.0413001  0.0699216     0.591 0.554746    
ORIG_ID1146                0.3090754  0.0696093     4.440 8.99e-06 ***
ORIG_ID1147               -0.2044745  0.0720705    -2.837 0.004552 ** 
ORIG_ID1152               -2.5174874  0.1511805   -16.652  < 2e-16 ***
ORIG_ID1153                0.3385461  0.0710837     4.763 1.91e-06 ***
ORIG_ID1157                1.7460788  0.0687395    25.401  < 2e-16 ***
ORIG_ID1158                0.0916276  0.0709315     1.292 0.196435    
ORIG_ID116                 2.5301458  0.0741216    34.135  < 2e-16 ***
ORIG_ID1161                1.8943736  0.0685644    27.629  < 2e-16 ***
ORIG_ID1162                0.8530145  0.0687850    12.401  < 2e-16 ***
ORIG_ID1163                1.3805414  0.0685962    20.126  < 2e-16 ***
ORIG_ID1164                0.0643179  0.0699289     0.920 0.357697    
ORIG_ID1167               -0.6623948  0.0765403    -8.654  < 2e-16 ***
ORIG_ID117                -1.0761472  0.2042305    -5.269 1.37e-07 ***
ORIG_ID1171               -1.6709257  0.1019195   -16.395  < 2e-16 ***
ORIG_ID1172                0.9774007  0.0696956    14.024  < 2e-16 ***
ORIG_ID1173                0.0275694  0.0719200     0.383 0.701472    
ORIG_ID1176                0.3868956  0.0696215     5.557 2.74e-08 ***
ORIG_ID1177                1.1678168  0.0692356    16.867  < 2e-16 ***
ORIG_ID118                -0.2230035  0.0964501    -2.312 0.020771 *  
ORIG_ID1180                1.3075111  0.0687054    19.031  < 2e-16 ***
ORIG_ID1181                0.9022741  0.0686728    13.139  < 2e-16 ***
ORIG_ID1183               -1.5917236  0.0781491   -20.368  < 2e-16 ***
ORIG_ID1184                0.6090124  0.0691021     8.813  < 2e-16 ***
ORIG_ID1186               -2.3993952  0.1203216   -19.942  < 2e-16 ***
ORIG_ID119                -0.6296306  0.0899216    -7.002 2.52e-12 ***
ORIG_ID1192               -1.3252403  0.0817164   -16.218  < 2e-16 ***
ORIG_ID1193               -0.5056090  0.0721874    -7.004 2.49e-12 ***
ORIG_ID1194               -1.2199132  0.0762574   -15.997  < 2e-16 ***
ORIG_ID1195                2.0226514  0.0686247    29.474  < 2e-16 ***
ORIG_ID1196                0.4982180  0.0707072     7.046 1.84e-12 ***
ORIG_ID1199               -0.8893757  0.0721058   -12.334  < 2e-16 ***
ORIG_ID120                -1.0176677  0.0991348   -10.265  < 2e-16 ***
ORIG_ID1200                0.8274306  0.0687507    12.035  < 2e-16 ***
ORIG_ID1201                0.7502469  0.0687695    10.910  < 2e-16 ***
ORIG_ID1202                0.1661449  0.0692259     2.400 0.016393 *  
ORIG_ID1203                0.3650822  0.0699587     5.219 1.80e-07 ***
ORIG_ID1204                0.1286388  0.0705074     1.824 0.068081 .  
ORIG_ID1205               -3.2337248  0.2670948   -12.107  < 2e-16 ***
ORIG_ID1207               -0.3114062  0.0712865    -4.368 1.25e-05 ***
ORIG_ID1208                0.0647906  0.0709126     0.914 0.360891    
ORIG_ID1209                0.2719055  0.0708557     3.837 0.000124 ***
ORIG_ID121                -1.1276948  0.0906596   -12.439  < 2e-16 ***
ORIG_ID1210               -1.6729628  0.1335363   -12.528  < 2e-16 ***
ORIG_ID1211               -1.6515023  0.0887627   -18.606  < 2e-16 ***
ORIG_ID1212               -2.5195041  0.1034296   -24.360  < 2e-16 ***
ORIG_ID1213                2.2828477  0.0685374    33.308  < 2e-16 ***
ORIG_ID1214                0.9742606  0.0692496    14.069  < 2e-16 ***
ORIG_ID1218                0.7954301  0.0691150    11.509  < 2e-16 ***
ORIG_ID1219                1.7803857  0.0685281    25.980  < 2e-16 ***
ORIG_ID122                -0.8650666  0.1099107    -7.871 3.53e-15 ***
ORIG_ID1220                0.4937366  0.0688178     7.175 7.25e-13 ***
ORIG_ID1221                1.0429901  0.0687464    15.172  < 2e-16 ***
ORIG_ID1222               -0.1695845  0.0713593    -2.376 0.017478 *  
ORIG_ID1225                0.6583049  0.0691505     9.520  < 2e-16 ***
ORIG_ID1226               -0.5676614  0.0716593    -7.922 2.34e-15 ***
ORIG_ID1227                0.3829747  0.0698371     5.484 4.16e-08 ***
ORIG_ID1229               -1.2821247  0.0836942   -15.319  < 2e-16 ***
ORIG_ID1230                0.6545546  0.0694253     9.428  < 2e-16 ***
ORIG_ID1231                0.9552655  0.0690079    13.843  < 2e-16 ***
ORIG_ID1232                0.8811484  0.0691220    12.748  < 2e-16 ***
ORIG_ID1233                1.8622965  0.0688107    27.064  < 2e-16 ***
ORIG_ID1234               -1.5940996  0.1045144   -15.252  < 2e-16 ***
ORIG_ID1238               -0.1955537  0.0694409    -2.816 0.004861 ** 
ORIG_ID1239               -0.6298363  0.0697840    -9.026  < 2e-16 ***
ORIG_ID1240                1.4170112  0.0685458    20.672  < 2e-16 ***
ORIG_ID1241                0.1547191  0.0699060     2.213 0.026881 *  
ORIG_ID1242               -1.1310394  0.0738539   -15.315  < 2e-16 ***
ORIG_ID1243               -1.9480372  0.0850750   -22.898  < 2e-16 ***
ORIG_ID1244               -0.6540953  0.0708556    -9.231  < 2e-16 ***
ORIG_ID1245                0.5690841  0.0696938     8.165 3.20e-16 ***
ORIG_ID1246               -0.1168093  0.0719533    -1.623 0.104503    
ORIG_ID1249               -1.5260352  0.0894811   -17.054  < 2e-16 ***
ORIG_ID1250                2.0915438  0.0685322    30.519  < 2e-16 ***
ORIG_ID1251                1.9134520  0.0685732    27.904  < 2e-16 ***
ORIG_ID1252                1.1791037  0.0691657    17.048  < 2e-16 ***
ORIG_ID1253               -0.8082920  0.0777385   -10.398  < 2e-16 ***
ORIG_ID1256                0.2037636  0.0691113     2.948 0.003195 ** 
ORIG_ID1257               -0.2745498  0.0693096    -3.961 7.46e-05 ***
ORIG_ID1258                0.3618990  0.0689051     5.252 1.50e-07 ***
ORIG_ID1259                0.1938293  0.0691642     2.802 0.005072 ** 
ORIG_ID1260               -0.1975063  0.0715838    -2.759 0.005796 ** 
ORIG_ID1261               -1.3288802  0.0732065   -18.152  < 2e-16 ***
ORIG_ID1262                0.9043792  0.0688092    13.143  < 2e-16 ***
ORIG_ID1263                0.5426512  0.0690400     7.860 3.84e-15 ***
ORIG_ID1264                1.1302657  0.0688422    16.418  < 2e-16 ***
ORIG_ID1265                0.8727263  0.0691392    12.623  < 2e-16 ***
ORIG_ID1266               -0.0389991  0.0715314    -0.545 0.585615    
ORIG_ID1268                0.6856437  0.0699827     9.797  < 2e-16 ***
ORIG_ID1269                1.4573542  0.0686723    21.222  < 2e-16 ***
ORIG_ID1270                1.7166616  0.0687294    24.977  < 2e-16 ***
ORIG_ID1272                1.5416511  0.0715392    21.550  < 2e-16 ***
ORIG_ID1276                0.6385970  0.0687214     9.293  < 2e-16 ***
ORIG_ID1277               -0.1485686  0.0692690    -2.145 0.031968 *  
ORIG_ID1278                1.1406441  0.0685807    16.632  < 2e-16 ***
ORIG_ID1279                0.9011154  0.0687608    13.105  < 2e-16 ***
ORIG_ID1280                0.1132551  0.0691515     1.638 0.101467    
ORIG_ID1281               -0.1617894  0.0696649    -2.322 0.020212 *  
ORIG_ID1282                0.0324810  0.0695809     0.467 0.640637    
ORIG_ID1283                0.5353134  0.0690127     7.757 8.71e-15 ***
ORIG_ID1284                0.9360799  0.0688688    13.592  < 2e-16 ***
ORIG_ID1285                0.4349379  0.0694599     6.262 3.81e-10 ***
ORIG_ID1288                1.1688835  0.0690612    16.925  < 2e-16 ***
ORIG_ID1289                2.1388498  0.0686162    31.171  < 2e-16 ***
ORIG_ID1294                0.4327958  0.0689875     6.274 3.53e-10 ***
ORIG_ID1295                1.6411205  0.0684906    23.961  < 2e-16 ***
ORIG_ID1296                0.7925399  0.0686418    11.546  < 2e-16 ***
ORIG_ID1297               -0.6119602  0.0717966    -8.524  < 2e-16 ***
ORIG_ID1298                1.0960026  0.0686776    15.959  < 2e-16 ***
ORIG_ID1299                0.7031264  0.0687884    10.222  < 2e-16 ***
ORIG_ID1300               -1.5132872  0.0752971   -20.098  < 2e-16 ***
ORIG_ID1301                1.2017936  0.0687153    17.489  < 2e-16 ***
ORIG_ID1302                1.3260409  0.0686060    19.328  < 2e-16 ***
ORIG_ID1303                1.4761527  0.0686537    21.501  < 2e-16 ***
ORIG_ID1304               -1.0072571  0.0750319   -13.424  < 2e-16 ***
ORIG_ID1306                0.6504591  0.0698841     9.308  < 2e-16 ***
ORIG_ID1307                1.7970470  0.0686950    26.160  < 2e-16 ***
ORIG_ID1308                1.2621386  0.0693916    18.189  < 2e-16 ***
ORIG_ID1314                0.1881493  0.0689185     2.730 0.006333 ** 
ORIG_ID1315                0.3835038  0.0688340     5.571 2.53e-08 ***
ORIG_ID1316               -0.0375910  0.0700546    -0.537 0.591547    
ORIG_ID1317                0.0306464  0.0695235     0.441 0.659353    
ORIG_ID1318                0.8260511  0.0688095    12.005  < 2e-16 ***
ORIG_ID1319                1.1550353  0.0687008    16.813  < 2e-16 ***
ORIG_ID1320                1.8647915  0.0685175    27.216  < 2e-16 ***
ORIG_ID1321                0.8547717  0.0688263    12.419  < 2e-16 ***
ORIG_ID1322                0.7756013  0.0688819    11.260  < 2e-16 ***
ORIG_ID1323               -0.4762312  0.0719461    -6.619 3.61e-11 ***
ORIG_ID1326                1.8643093  0.0687321    27.124  < 2e-16 ***
ORIG_ID1327                1.5169298  0.0690182    21.979  < 2e-16 ***
ORIG_ID1332               -1.5534659  0.0729468   -21.296  < 2e-16 ***
ORIG_ID1333               -0.4559537  0.0694049    -6.569 5.05e-11 ***
ORIG_ID1334                0.9628500  0.0685759    14.041  < 2e-16 ***
ORIG_ID1335                1.4272535  0.0685586    20.818  < 2e-16 ***
ORIG_ID1336                0.4821709  0.0690408     6.984 2.87e-12 ***
ORIG_ID1337                2.1955205  0.0684443    32.077  < 2e-16 ***
ORIG_ID1338               -0.0208630  0.0693281    -0.301 0.763466    
ORIG_ID1339                0.2549968  0.0691602     3.687 0.000227 ***
ORIG_ID1340                2.2826925  0.0684524    33.347  < 2e-16 ***
ORIG_ID1341               -0.6420974  0.0712099    -9.017  < 2e-16 ***
ORIG_ID1342               -0.4907549  0.0729511    -6.727 1.73e-11 ***
ORIG_ID1345                1.4832479  0.0690859    21.470  < 2e-16 ***
ORIG_ID1352               -0.7253563  0.0710596   -10.208  < 2e-16 ***
ORIG_ID1353                0.0672366  0.0689238     0.976 0.329302    
ORIG_ID1354                1.4818088  0.0684995    21.632  < 2e-16 ***
ORIG_ID1355                1.1336823  0.0687108    16.499  < 2e-16 ***
ORIG_ID1356                1.0654244  0.0686931    15.510  < 2e-16 ***
ORIG_ID1357                1.2606099  0.0686127    18.373  < 2e-16 ***
ORIG_ID1358                1.1491940  0.0690207    16.650  < 2e-16 ***
ORIG_ID1359                1.3941938  0.0686080    20.321  < 2e-16 ***
ORIG_ID136                 2.0142316  0.0736182    27.361  < 2e-16 ***
ORIG_ID1360                0.9385830  0.0688319    13.636  < 2e-16 ***
ORIG_ID1364               -2.8772474  0.1597092   -18.016  < 2e-16 ***
ORIG_ID137                 0.0639164  0.1056724     0.605 0.545276    
ORIG_ID1370               -6.8579339  1.0023368    -6.842 7.81e-12 ***
ORIG_ID1371               -0.7308826  0.0712807   -10.254  < 2e-16 ***
ORIG_ID1372                0.9214965  0.0686183    13.429  < 2e-16 ***
ORIG_ID1373                0.5898508  0.0688798     8.563  < 2e-16 ***
ORIG_ID1374                0.3809043  0.0691644     5.507 3.65e-08 ***
ORIG_ID1375                1.2263161  0.0689063    17.797  < 2e-16 ***
ORIG_ID1376                0.5588639  0.0689577     8.104 5.30e-16 ***
ORIG_ID1377               -1.2826810  0.0728971   -17.596  < 2e-16 ***
ORIG_ID1378                1.4154440  0.0686256    20.626  < 2e-16 ***
ORIG_ID1379                0.4016238  0.0719001     5.586 2.33e-08 ***
ORIG_ID138                -0.8680820  0.1287544    -6.742 1.56e-11 ***
ORIG_ID1380                0.2012863  0.0706328     2.850 0.004375 ** 
ORIG_ID1383               -0.4831676  0.0782487    -6.175 6.63e-10 ***
ORIG_ID1389                0.0337047  0.0756020     0.446 0.655729    
ORIG_ID139                 0.3833059  0.0824109     4.651 3.30e-06 ***
ORIG_ID1390               -0.6943554  0.0720200    -9.641  < 2e-16 ***
ORIG_ID1391               -0.3398401  0.0695690    -4.885 1.03e-06 ***
ORIG_ID1392                0.6430324  0.0687006     9.360  < 2e-16 ***
ORIG_ID1393                0.7147052  0.0687244    10.400  < 2e-16 ***
ORIG_ID1394                0.8628487  0.0687843    12.544  < 2e-16 ***
ORIG_ID1395                1.9675332  0.0688615    28.572  < 2e-16 ***
ORIG_ID1396               -0.5888118  0.0720427    -8.173 3.01e-16 ***
ORIG_ID1397               -0.6220530  0.0761597    -8.168 3.14e-16 ***
ORIG_ID1398                0.6773384  0.0693593     9.766  < 2e-16 ***
ORIG_ID140                 0.3369111  0.0731084     4.608 4.06e-06 ***
ORIG_ID1401               -1.4375751  0.0927081   -15.506  < 2e-16 ***
ORIG_ID1408               -1.0265224  0.0858528   -11.957  < 2e-16 ***
ORIG_ID1409               -0.5831416  0.0713817    -8.169 3.10e-16 ***
ORIG_ID141                -2.2944390  0.1199237   -19.132  < 2e-16 ***
ORIG_ID1410               -1.5749393  0.0760345   -20.713  < 2e-16 ***
ORIG_ID1411                1.0070698  0.0686151    14.677  < 2e-16 ***
ORIG_ID1412                1.4008555  0.0685864    20.425  < 2e-16 ***
ORIG_ID1413                1.0760638  0.0689522    15.606  < 2e-16 ***
ORIG_ID1414               -1.3722458  0.0748321   -18.338  < 2e-16 ***
ORIG_ID1415               -0.0501394  0.0694680    -0.722 0.470440    
ORIG_ID1416               -0.6245566  0.0711189    -8.782  < 2e-16 ***
ORIG_ID1417               -0.6806423  0.0719081    -9.465  < 2e-16 ***
ORIG_ID1418               -1.0629965  0.0759855   -13.989  < 2e-16 ***
ORIG_ID1419               -1.9428393  0.1211343   -16.039  < 2e-16 ***
ORIG_ID142                -0.5016730  0.0979746    -5.120 3.05e-07 ***
ORIG_ID1420               -1.4916569  0.0967890   -15.411  < 2e-16 ***
ORIG_ID1428               -3.3018516  0.1949580   -16.936  < 2e-16 ***
ORIG_ID1430               -0.3819060  0.0712153    -5.363 8.20e-08 ***
ORIG_ID1431               -1.4445404  0.0724959   -19.926  < 2e-16 ***
ORIG_ID1432                0.9840521  0.0686677    14.331  < 2e-16 ***
ORIG_ID1433               -0.3126828  0.0766540    -4.079 4.52e-05 ***
ORIG_ID1434               -0.3659565  0.0706381    -5.181 2.21e-07 ***
ORIG_ID1435                1.0326378  0.0690094    14.964  < 2e-16 ***
ORIG_ID1436               -0.6665526  0.0713087    -9.347  < 2e-16 ***
ORIG_ID1439               -0.7360676  0.0756180    -9.734  < 2e-16 ***
ORIG_ID1440               -1.6545256  0.0987389   -16.757  < 2e-16 ***
ORIG_ID1448                1.3005643  0.0699296    18.598  < 2e-16 ***
ORIG_ID1449                0.2050231  0.0689887     2.972 0.002960 ** 
ORIG_ID1450                0.7143151  0.0689474    10.360  < 2e-16 ***
ORIG_ID1451                1.2731736  0.0686660    18.542  < 2e-16 ***
ORIG_ID1452               -0.1571352  0.0695725    -2.259 0.023909 *  
ORIG_ID1453                1.0753374  0.0686915    15.655  < 2e-16 ***
ORIG_ID1454                0.7816321  0.0698559    11.189  < 2e-16 ***
ORIG_ID1455               -0.3197008  0.0704292    -4.539 5.64e-06 ***
ORIG_ID1456                1.3630568  0.0688328    19.802  < 2e-16 ***
ORIG_ID1457                1.1478093  0.0691162    16.607  < 2e-16 ***
ORIG_ID1458               -1.3546904  0.0987387   -13.720  < 2e-16 ***
ORIG_ID1468                0.9259109  0.0713303    12.981  < 2e-16 ***
ORIG_ID1469                1.0293368  0.0686464    14.995  < 2e-16 ***
ORIG_ID1470                0.1075790  0.0694749     1.548 0.121512    
ORIG_ID1471                0.9954462  0.0688150    14.466  < 2e-16 ***
ORIG_ID1472                2.1918439  0.0684647    32.014  < 2e-16 ***
ORIG_ID1473               -0.0482429  0.0694496    -0.695 0.487277    
ORIG_ID1474                1.5729362  0.0686005    22.929  < 2e-16 ***
ORIG_ID1475                0.2307018  0.0698697     3.302 0.000960 ***
ORIG_ID1476                0.5256192  0.0697655     7.534 4.92e-14 ***
ORIG_ID1477               -2.2684877  0.1176767   -19.277  < 2e-16 ***
ORIG_ID1486               -0.9783058  0.0803114   -12.181  < 2e-16 ***
ORIG_ID1487                0.8429049  0.0687202    12.266  < 2e-16 ***
ORIG_ID1488               -0.8917130  0.0726764   -12.270  < 2e-16 ***
ORIG_ID1489                0.4343562  0.0691116     6.285 3.28e-10 ***
ORIG_ID1490                0.0361244  0.0703652     0.513 0.607683    
ORIG_ID1491                0.6499414  0.0688615     9.438  < 2e-16 ***
ORIG_ID1492                0.7728581  0.0688444    11.226  < 2e-16 ***
ORIG_ID1493                1.3027022  0.0687021    18.962  < 2e-16 ***
ORIG_ID1494                1.3962510  0.0689538    20.249  < 2e-16 ***
ORIG_ID1506               -2.0380343  0.1149813   -17.725  < 2e-16 ***
ORIG_ID1507                1.2053421  0.0686141    17.567  < 2e-16 ***
ORIG_ID1508                0.1126503  0.0691512     1.629 0.103304    
ORIG_ID1509                1.1670700  0.0703914    16.580  < 2e-16 ***
ORIG_ID1510                0.7896279  0.0688420    11.470  < 2e-16 ***
ORIG_ID1512                1.5882690  0.0685918    23.155  < 2e-16 ***
ORIG_ID1513                1.7631221  0.0690528    25.533  < 2e-16 ***
ORIG_ID1514                1.2231423  0.0693073    17.648  < 2e-16 ***
ORIG_ID1524                0.0914587  0.0712796     1.283 0.199458    
ORIG_ID1525                0.7803115  0.0688547    11.333  < 2e-16 ***
ORIG_ID1526                0.6382061  0.0688521     9.269  < 2e-16 ***
ORIG_ID1527                0.2584144  0.0696337     3.711 0.000206 ***
ORIG_ID1528                0.0913089  0.0694134     1.315 0.188363    
ORIG_ID1529               -0.3897717  0.0704017    -5.536 3.09e-08 ***
ORIG_ID1530                0.0662642  0.0698160     0.949 0.342557    
ORIG_ID1531                1.0905476  0.0687815    15.855  < 2e-16 ***
ORIG_ID1532                0.3917836  0.0700998     5.589 2.28e-08 ***
ORIG_ID1544                0.6777268  0.0691089     9.807  < 2e-16 ***
ORIG_ID1545                0.4634294  0.0688682     6.729 1.71e-11 ***
ORIG_ID1546                0.9241380  0.0687409    13.444  < 2e-16 ***
ORIG_ID1547                0.2753113  0.0692100     3.978 6.95e-05 ***
ORIG_ID1548                1.1571240  0.0687658    16.827  < 2e-16 ***
ORIG_ID1549                1.8720598  0.0685607    27.305  < 2e-16 ***
ORIG_ID1550                1.6915290  0.0685404    24.679  < 2e-16 ***
ORIG_ID1551               -0.9684700  0.0721745   -13.418  < 2e-16 ***
ORIG_ID1552                1.7193772  0.0687852    24.996  < 2e-16 ***
ORIG_ID156                 0.8756830  0.1077847     8.124 4.50e-16 ***
ORIG_ID1562               -3.1216355  0.2856540   -10.928  < 2e-16 ***
ORIG_ID1563                0.6275427  0.0689559     9.101  < 2e-16 ***
ORIG_ID1564                1.1931373  0.0686233    17.387  < 2e-16 ***
ORIG_ID1565                0.2851760  0.0690572     4.130 3.63e-05 ***
ORIG_ID1566               -1.1698324  0.0745801   -15.686  < 2e-16 ***
ORIG_ID1567                1.0153328  0.0688472    14.748  < 2e-16 ***
ORIG_ID1568                1.2726576  0.0686254    18.545  < 2e-16 ***
ORIG_ID1569                0.8228383  0.0688418    11.953  < 2e-16 ***
ORIG_ID1570                1.1018523  0.0687774    16.021  < 2e-16 ***
ORIG_ID1571                1.9953186  0.0694337    28.737  < 2e-16 ***
ORIG_ID158                -0.8546103  0.1071248    -7.978 1.49e-15 ***
ORIG_ID1582                0.0229646  0.0696332     0.330 0.741556    
ORIG_ID1583                1.4286424  0.0685701    20.835  < 2e-16 ***
ORIG_ID1584                0.1161965  0.0691334     1.681 0.092810 .  
ORIG_ID1585               -0.4032362  0.0706638    -5.706 1.15e-08 ***
ORIG_ID1587                1.2348650  0.0687004    17.975  < 2e-16 ***
ORIG_ID1588                2.0716504  0.0684928    30.246  < 2e-16 ***
ORIG_ID1589                1.2153622  0.0686866    17.694  < 2e-16 ***
ORIG_ID159                -1.5126920  0.0924614   -16.360  < 2e-16 ***
ORIG_ID1590                0.9759751  0.0689291    14.159  < 2e-16 ***
ORIG_ID1591               -1.7880176  0.0918367   -19.470  < 2e-16 ***
ORIG_ID160                 0.6458006  0.0719737     8.973  < 2e-16 ***
ORIG_ID1600               -1.4469951  0.1655338    -8.741  < 2e-16 ***
ORIG_ID1601                0.3420784  0.0690632     4.953 7.30e-07 ***
ORIG_ID1602                1.1888008  0.0689223    17.248  < 2e-16 ***
ORIG_ID1603               -0.3487158  0.0700902    -4.975 6.52e-07 ***
ORIG_ID1604                1.2541878  0.0699081    17.941  < 2e-16 ***
ORIG_ID1606                1.0878238  0.0687412    15.825  < 2e-16 ***
ORIG_ID1607                0.5787309  0.0690034     8.387  < 2e-16 ***
ORIG_ID1608                2.2797806  0.0684852    33.289  < 2e-16 ***
ORIG_ID1609                1.2235732  0.0688193    17.780  < 2e-16 ***
ORIG_ID1610                0.5469834  0.0713550     7.666 1.78e-14 ***
ORIG_ID1620                1.4751738  0.0686440    21.490  < 2e-16 ***
ORIG_ID1621                1.1064233  0.0687479    16.094  < 2e-16 ***
ORIG_ID1622                0.4354812  0.0693264     6.282 3.35e-10 ***
ORIG_ID1623                0.1767913  0.0694881     2.544 0.010953 *  
ORIG_ID1624                0.3295232  0.0742293     4.439 9.03e-06 ***
ORIG_ID1625               -1.9666713  0.0882018   -22.297  < 2e-16 ***
ORIG_ID1626                1.2501808  0.0687742    18.178  < 2e-16 ***
ORIG_ID1627                1.2606118  0.0686870    18.353  < 2e-16 ***
ORIG_ID1628                1.2939607  0.0687235    18.828  < 2e-16 ***
ORIG_ID1629                0.5977701  0.0699295     8.548  < 2e-16 ***
ORIG_ID1630               -0.0670494  0.0778306    -0.861 0.388974    
ORIG_ID1639                0.6767784  0.0689710     9.813  < 2e-16 ***
ORIG_ID1640                1.6003536  0.0685378    23.350  < 2e-16 ***
ORIG_ID1641                1.0891462  0.0687182    15.849  < 2e-16 ***
ORIG_ID1645                1.0400898  0.0690045    15.073  < 2e-16 ***
ORIG_ID1646                1.1992083  0.0687648    17.439  < 2e-16 ***
ORIG_ID1647                2.2102843  0.0685055    32.264  < 2e-16 ***
ORIG_ID1648               -0.9897124  0.0814378   -12.153  < 2e-16 ***
ORIG_ID1658                1.9499527  0.0685532    28.444  < 2e-16 ***
ORIG_ID1659                0.4551767  0.0690113     6.596 4.23e-11 ***
ORIG_ID1660                0.5304987  0.0689447     7.695 1.42e-14 ***
ORIG_ID1661               -0.1721633  0.0701681    -2.454 0.014144 *  
ORIG_ID1663               -1.7523226  0.1117431   -15.682  < 2e-16 ***
ORIG_ID1665                0.5670208  0.0694003     8.170 3.08e-16 ***
ORIG_ID1666                2.1506908  0.0685122    31.391  < 2e-16 ***
ORIG_ID1667               -0.0570634  0.0725636    -0.786 0.431638    
ORIG_ID1668                1.9630375  0.0700300    28.031  < 2e-16 ***
ORIG_ID1677                0.6809673  0.0688758     9.887  < 2e-16 ***
ORIG_ID1678                1.0879609  0.0687682    15.821  < 2e-16 ***
ORIG_ID1679                1.1505414  0.0687738    16.729  < 2e-16 ***
ORIG_ID1682               -0.1302991  0.0771968    -1.688 0.091434 .  
ORIG_ID1684                1.2926248  0.0702024    18.413  < 2e-16 ***
ORIG_ID1685                1.3150896  0.0688671    19.096  < 2e-16 ***
ORIG_ID1696                0.8902218  0.0690877    12.885  < 2e-16 ***
ORIG_ID1697               -0.8028562  0.0719987   -11.151  < 2e-16 ***
ORIG_ID1698                0.8665596  0.0711970    12.171  < 2e-16 ***
ORIG_ID1699                0.8841799  0.0689049    12.832  < 2e-16 ***
ORIG_ID1702               -1.4067945  0.0948825   -14.827  < 2e-16 ***
ORIG_ID1704                1.3969358  0.0688766    20.282  < 2e-16 ***
ORIG_ID1705                1.1081796  0.0705928    15.698  < 2e-16 ***
ORIG_ID1715                0.9034239  0.0688477    13.122  < 2e-16 ***
ORIG_ID1716                0.2208572  0.0693811     3.183 0.001456 ** 
ORIG_ID1717                0.5632753  0.0695977     8.093 5.81e-16 ***
ORIG_ID1718               -3.0742754  0.1304595   -23.565  < 2e-16 ***
ORIG_ID1721               -1.3509063  0.1048968   -12.878  < 2e-16 ***
ORIG_ID1723                0.5230862  0.0704748     7.422 1.15e-13 ***
ORIG_ID1734               -1.9712504  0.1075673   -18.326  < 2e-16 ***
ORIG_ID1735                0.2185552  0.0694513     3.147 0.001650 ** 
ORIG_ID1736                1.2403752  0.0690556    17.962  < 2e-16 ***
ORIG_ID1737                1.0340898  0.0688904    15.011  < 2e-16 ***
ORIG_ID1740               -0.7896115  0.0858015    -9.203  < 2e-16 ***
ORIG_ID1742                0.5913251  0.0704748     8.391  < 2e-16 ***
ORIG_ID1753                0.4633627  0.0692569     6.690 2.22e-11 ***
ORIG_ID1754                1.1920212  0.0687178    17.347  < 2e-16 ***
ORIG_ID1755                1.4337473  0.0687882    20.843  < 2e-16 ***
ORIG_ID1758               -1.4255754  0.0906616   -15.724  < 2e-16 ***
ORIG_ID177                -0.0410987  0.0873089    -0.471 0.637835    
ORIG_ID1772               -3.0012612  0.2152687   -13.942  < 2e-16 ***
ORIG_ID1773                0.3139132  0.0695683     4.512 6.41e-06 ***
ORIG_ID1774                2.5999251  0.0684305    37.994  < 2e-16 ***
ORIG_ID1775                0.5309094  0.0695158     7.637 2.22e-14 ***
ORIG_ID1776                1.2465949  0.0688602    18.103  < 2e-16 ***
ORIG_ID1778               -0.9110239  0.0901207   -10.109  < 2e-16 ***
ORIG_ID178                -0.7539758  0.0827475    -9.112  < 2e-16 ***
ORIG_ID179                -1.2037207  0.1424710    -8.449  < 2e-16 ***
ORIG_ID1791                0.3671915  0.0696252     5.274 1.34e-07 ***
ORIG_ID1792               -1.2821141  0.0729171   -17.583  < 2e-16 ***
ORIG_ID1793                0.9382137  0.0688502    13.627  < 2e-16 ***
ORIG_ID1794                0.2420036  0.0707878     3.419 0.000629 ***
ORIG_ID1795                1.3504663  0.0688325    19.620  < 2e-16 ***
ORIG_ID1796                0.2251217  0.0699282     3.219 0.001285 ** 
ORIG_ID1797                0.5205008  0.0696363     7.475 7.75e-14 ***
ORIG_ID1811                0.6820390  0.0690387     9.879  < 2e-16 ***
ORIG_ID1812                1.2463601  0.0686552    18.154  < 2e-16 ***
ORIG_ID1813                1.1027330  0.0688089    16.026  < 2e-16 ***
ORIG_ID1814                2.0128973  0.0686182    29.335  < 2e-16 ***
ORIG_ID1815                1.3001417  0.0688159    18.893  < 2e-16 ***
ORIG_ID1816                0.7465778  0.0693844    10.760  < 2e-16 ***
ORIG_ID1817               -0.9251207  0.0772267   -11.979  < 2e-16 ***
ORIG_ID1830                1.2849666  0.0689996    18.623  < 2e-16 ***
ORIG_ID1831                1.4657847  0.0686410    21.354  < 2e-16 ***
ORIG_ID1832                1.1202332  0.0687544    16.293  < 2e-16 ***
ORIG_ID1833                0.9538773  0.0688712    13.850  < 2e-16 ***
ORIG_ID1834               -0.3657771  0.0717042    -5.101 3.38e-07 ***
ORIG_ID1835                1.7448727  0.0686984    25.399  < 2e-16 ***
ORIG_ID1849                0.3592469  0.0696096     5.161 2.46e-07 ***
ORIG_ID1850                1.0281200  0.0687947    14.945  < 2e-16 ***
ORIG_ID1851               -1.5766795  0.0973738   -16.192  < 2e-16 ***
ORIG_ID1852                1.6013763  0.0685549    23.359  < 2e-16 ***
ORIG_ID1853                0.8209774  0.0691058    11.880  < 2e-16 ***
ORIG_ID1854                1.0998293  0.0688818    15.967  < 2e-16 ***
ORIG_ID1855                0.1478756  0.0726342     2.036 0.041761 *  
ORIG_ID1868                1.0431263  0.0689322    15.133  < 2e-16 ***
ORIG_ID1869                0.1189672  0.0695642     1.710 0.087233 .  
ORIG_ID1870               -0.2786662  0.0769826    -3.620 0.000295 ***
ORIG_ID1871                2.7437796  0.0684301    40.096  < 2e-16 ***
ORIG_ID1872                0.8529078  0.0696279    12.250  < 2e-16 ***
ORIG_ID1873                1.1977964  0.0689676    17.368  < 2e-16 ***
ORIG_ID1887                0.1368705  0.0700825     1.953 0.050821 .  
ORIG_ID1888                1.2142068  0.0687671    17.657  < 2e-16 ***
ORIG_ID1889                0.5414820  0.0691932     7.826 5.05e-15 ***
ORIG_ID1890                1.0529363  0.0687250    15.321  < 2e-16 ***
ORIG_ID1891                0.5534777  0.0693224     7.984 1.42e-15 ***
ORIG_ID1892                2.3446979  0.0684999    34.229  < 2e-16 ***
ORIG_ID1893               -1.2150578  0.0912335   -13.318  < 2e-16 ***
ORIG_ID1905               -0.3849309  0.0982325    -3.919 8.91e-05 ***
ORIG_ID1906               -0.9892672  0.0733879   -13.480  < 2e-16 ***
ORIG_ID1907                0.2944160  0.0694246     4.241 2.23e-05 ***
ORIG_ID1908                1.2893281  0.0688131    18.737  < 2e-16 ***
ORIG_ID1909                0.9168167  0.0688347    13.319  < 2e-16 ***
ORIG_ID1910                0.1564334  0.0699384     2.237 0.025304 *  
ORIG_ID1911               -2.5212745  0.1169763   -21.554  < 2e-16 ***
ORIG_ID1926                0.2053259  0.0705998     2.908 0.003634 ** 
ORIG_ID1927               -0.2593112  0.0706700    -3.669 0.000243 ***
ORIG_ID1928                1.4753602  0.0686153    21.502  < 2e-16 ***
ORIG_ID1929                1.6105613  0.0687947    23.411  < 2e-16 ***
ORIG_ID1930                0.9737881  0.0689704    14.119  < 2e-16 ***
ORIG_ID1944                0.8362952  0.0700658    11.936  < 2e-16 ***
ORIG_ID1945               -1.2449067  0.0750923   -16.578  < 2e-16 ***
ORIG_ID1946                1.1456477  0.0688655    16.636  < 2e-16 ***
ORIG_ID1947                1.6552257  0.0685885    24.133  < 2e-16 ***
ORIG_ID1948                1.9100314  0.0686206    27.835  < 2e-16 ***
ORIG_ID1949                1.2343661  0.0691276    17.856  < 2e-16 ***
ORIG_ID195                 0.0585438  0.0893567     0.655 0.512359    
ORIG_ID196                -0.5730212  0.0784088    -7.308 2.71e-13 ***
ORIG_ID1965                0.2917787  0.0695639     4.194 2.74e-05 ***
ORIG_ID1966                0.5045291  0.0698511     7.223 5.09e-13 ***
ORIG_ID1967                0.6491851  0.0690398     9.403  < 2e-16 ***
ORIG_ID1968                1.1226301  0.0690130    16.267  < 2e-16 ***
ORIG_ID197                 0.1215079  0.0746003     1.629 0.103358    
ORIG_ID1983                0.1630348  0.0713309     2.286 0.022277 *  
ORIG_ID1984               -0.1308306  0.0710222    -1.842 0.065459 .  
ORIG_ID1985                0.6291667  0.0693560     9.072  < 2e-16 ***
ORIG_ID1986                1.2550298  0.0688418    18.231  < 2e-16 ***
ORIG_ID1987                0.2448528  0.0784989     3.119 0.001813 ** 
ORIG_ID2002               -0.8352284  0.1067002    -7.828 4.96e-15 ***
ORIG_ID2003               -1.7307955  0.0855523   -20.231  < 2e-16 ***
ORIG_ID2004                0.0485166  0.0745699     0.651 0.515293    
ORIG_ID2005                0.7925019  0.0694250    11.415  < 2e-16 ***
ORIG_ID2006               -0.3561147  0.0716961    -4.967 6.80e-07 ***
ORIG_ID2021               -0.7900038  0.0792567    -9.968  < 2e-16 ***
ORIG_ID2022                0.2003151  0.0780923     2.565 0.010314 *  
ORIG_ID2023               -0.0453365  0.0722900    -0.627 0.530562    
ORIG_ID2024               -1.1637986  0.0772062   -15.074  < 2e-16 ***
ORIG_ID2025               -1.0530084  0.0895444   -11.760  < 2e-16 ***
ORIG_ID2042               -0.7406296  0.0908023    -8.157 3.45e-16 ***
ORIG_ID2043               -0.3917549  0.0767000    -5.108 3.26e-07 ***
ORIG_ID2044               -0.5749257  0.0727982    -7.898 2.84e-15 ***
ORIG_ID2045               -0.6030361  0.0849586    -7.098 1.27e-12 ***
ORIG_ID2061               -0.6831102  0.0934815    -7.307 2.72e-13 ***
ORIG_ID2062                0.0587019  0.0751683     0.781 0.434838    
ORIG_ID2063               -0.7862092  0.0757977   -10.372  < 2e-16 ***
ORIG_ID2064               -1.3363238  0.1064901   -12.549  < 2e-16 ***
ORIG_ID2079                1.0878781  0.0703889    15.455  < 2e-16 ***
ORIG_ID2082               -2.5832279  0.1570776   -16.446  < 2e-16 ***
ORIG_ID2083               -0.8798720  0.0775498   -11.346  < 2e-16 ***
ORIG_ID2098               -0.9486353  0.0816435   -11.619  < 2e-16 ***
ORIG_ID2099                1.4014233  0.0694104    20.190  < 2e-16 ***
ORIG_ID2102                1.7645685  0.0690926    25.539  < 2e-16 ***
ORIG_ID2115                2.4630428  0.0702315    35.070  < 2e-16 ***
ORIG_ID2119                1.8831154  0.0690701    27.264  < 2e-16 ***
ORIG_ID2121                0.5912584  0.0706298     8.371  < 2e-16 ***
ORIG_ID2137                1.0591093  0.0707972    14.960  < 2e-16 ***
ORIG_ID2140               -0.5497340  0.0798551    -6.884 5.81e-12 ***
ORIG_ID215                -0.8079359  0.1451439    -5.566 2.60e-08 ***
ORIG_ID2153               -0.4931921  0.0947835    -5.203 1.96e-07 ***
ORIG_ID2158                0.8559713  0.0713696    11.993  < 2e-16 ***
ORIG_ID216                -1.5600484  0.1087022   -14.352  < 2e-16 ***
ORIG_ID217                -1.3111085  0.1760363    -7.448 9.48e-14 ***
ORIG_ID2177                0.6822641  0.0713214     9.566  < 2e-16 ***
ORIG_ID2178               -0.5391205  0.0812405    -6.636 3.22e-11 ***
ORIG_ID2196                0.7983258  0.0801524     9.960  < 2e-16 ***
ORIG_ID2197                0.4137357  0.0733756     5.639 1.71e-08 ***
ORIG_ID2267                0.4379936  0.1052812     4.160 3.18e-05 ***
ORIG_ID233                 0.0125411  0.0796936     0.157 0.874956    
ORIG_ID234                -1.9694708  0.1080105   -18.234  < 2e-16 ***
ORIG_ID235                -0.4856128  0.0837567    -5.798 6.72e-09 ***
ORIG_ID252                 1.5886637  0.0735779    21.592  < 2e-16 ***
ORIG_ID253                -0.1223455  0.0791555    -1.546 0.122193    
ORIG_ID254                -0.4083950  0.0806931    -5.061 4.17e-07 ***
ORIG_ID270                -2.2080218  0.2338227    -9.443  < 2e-16 ***
ORIG_ID271                -0.2178325  0.0962310    -2.264 0.023596 *  
ORIG_ID272                -1.1858406  0.0875630   -13.543  < 2e-16 ***
ORIG_ID290                 0.3183285  0.0833102     3.821 0.000133 ***
ORIG_ID291                 0.1855080  0.1134472     1.635 0.102009    
ORIG_ID292                -0.4409848  0.0978536    -4.507 6.59e-06 ***
ORIG_ID308                 1.3730354  0.0752218    18.253  < 2e-16 ***
ORIG_ID309                -0.3545283  0.0804466    -4.407 1.05e-05 ***
ORIG_ID310                -0.3622852  0.0827184    -4.380 1.19e-05 ***
ORIG_ID329                 1.3628466  0.0795559    17.131  < 2e-16 ***
ORIG_ID330                -0.5192555  0.0807592    -6.430 1.28e-10 ***
ORIG_ID347                 0.0694181  0.0753199     0.922 0.356714    
ORIG_ID348                -0.6479264  0.0874108    -7.412 1.24e-13 ***
ORIG_ID349                -1.5439040  0.1219737   -12.658  < 2e-16 ***
ORIG_ID366                 0.7366382  0.0781652     9.424  < 2e-16 ***
ORIG_ID367                 0.2847358  0.0819903     3.473 0.000515 ***
ORIG_ID368                 1.2876256  0.0690584    18.645  < 2e-16 ***
ORIG_ID369                 0.6241198  0.0748110     8.343  < 2e-16 ***
ORIG_ID370                 1.2164767  0.0705049    17.254  < 2e-16 ***
ORIG_ID385                -1.5290422  0.1232858   -12.402  < 2e-16 ***
ORIG_ID386                -0.2618703  0.0814987    -3.213 0.001313 ** 
ORIG_ID387                -0.7399190  0.0761721    -9.714  < 2e-16 ***
ORIG_ID388                 0.9941006  0.0727965    13.656  < 2e-16 ***
ORIG_ID389                 0.4219454  0.0733138     5.755 8.65e-09 ***
ORIG_ID40                 -0.3578863  0.1760369    -2.033 0.042051 *  
ORIG_ID404                -0.1773439  0.0895408    -1.981 0.047637 *  
ORIG_ID405                -1.5601008  0.1036034   -15.058  < 2e-16 ***
ORIG_ID406                -1.1080071  0.0838913   -13.208  < 2e-16 ***
ORIG_ID407                 0.9550755  0.0696926    13.704  < 2e-16 ***
ORIG_ID408                 0.5081721  0.0712634     7.131 9.97e-13 ***
ORIG_ID42                 -0.3315159  0.0990000    -3.349 0.000812 ***
ORIG_ID424                -0.0996071  0.0763149    -1.305 0.191821    
ORIG_ID425                -0.6652161  0.0751110    -8.856  < 2e-16 ***
ORIG_ID426                 1.5844461  0.0688535    23.012  < 2e-16 ***
ORIG_ID427                 1.5197618  0.0701810    21.655  < 2e-16 ***
ORIG_ID442                 0.2268786  0.0966786     2.347 0.018939 *  
ORIG_ID443                -3.2640029  0.3091640   -10.558  < 2e-16 ***
ORIG_ID444                 0.4022591  0.0715469     5.622 1.88e-08 ***
ORIG_ID445                 0.3088307  0.0701682     4.401 1.08e-05 ***
ORIG_ID447                -2.2573295  0.1801422   -12.531  < 2e-16 ***
ORIG_ID448                 0.8550930  0.0748728    11.421  < 2e-16 ***
ORIG_ID461                -0.1971557  0.0808413    -2.439 0.014736 *  
ORIG_ID462                 0.4885420  0.0734714     6.649 2.94e-11 ***
ORIG_ID463                -0.7413537  0.0732540   -10.120  < 2e-16 ***
ORIG_ID464                 1.9698781  0.0686398    28.699  < 2e-16 ***
ORIG_ID465                -0.9048855  0.0847677   -10.675  < 2e-16 ***
ORIG_ID466                 0.1662840  0.0867802     1.916 0.055346 .  
ORIG_ID467                -1.3985805  0.1261317   -11.088  < 2e-16 ***
ORIG_ID480                -0.8170206  0.1060756    -7.702 1.34e-14 ***
ORIG_ID481                 0.2052734  0.0753277     2.725 0.006429 ** 
ORIG_ID482                -0.3917523  0.0740367    -5.291 1.21e-07 ***
ORIG_ID483                 1.8256929  0.0686443    26.596  < 2e-16 ***
ORIG_ID484                 2.0454664  0.0687055    29.772  < 2e-16 ***
ORIG_ID486                -0.4194362  0.0788888    -5.317 1.06e-07 ***
ORIG_ID487                -1.3609563  0.1399969    -9.721  < 2e-16 ***
ORIG_ID488                -2.5979418  0.3091655    -8.403  < 2e-16 ***
ORIG_ID499                -0.7569050  0.0981000    -7.716 1.20e-14 ***
ORIG_ID500                 0.1449927  0.0861024     1.684 0.092190 .  
ORIG_ID501                -0.7792099  0.0732554   -10.637  < 2e-16 ***
ORIG_ID502                 1.5444932  0.0687380    22.469  < 2e-16 ***
ORIG_ID503                 1.0777769  0.0702842    15.335  < 2e-16 ***
ORIG_ID507                -0.0603582  0.0996848    -0.605 0.544853    
ORIG_ID508                -0.9496187  0.1451484    -6.542 6.05e-11 ***
ORIG_ID518                -1.6290861  0.1424710   -11.435  < 2e-16 ***
ORIG_ID519                -0.6459236  0.0815673    -7.919 2.40e-15 ***
ORIG_ID520                 0.0081747  0.1077886     0.076 0.939546    
ORIG_ID521                 2.9910808  0.0684266    43.712  < 2e-16 ***
ORIG_ID522                 1.2495781  0.0689483    18.123  < 2e-16 ***
ORIG_ID524                -1.9506472  0.1687709   -11.558  < 2e-16 ***
ORIG_ID528                -0.9633519  0.1335351    -7.214 5.42e-13 ***
ORIG_ID529                -0.7978528  0.1052772    -7.579 3.49e-14 ***
ORIG_ID530                -0.4435546  0.0988696    -4.486 7.25e-06 ***
ORIG_ID537                -1.5438923  0.1184045   -13.039  < 2e-16 ***
ORIG_ID538                -0.2177488  0.0817392    -2.664 0.007723 ** 
ORIG_ID539                -0.2512124  0.0718604    -3.496 0.000473 ***
ORIG_ID540                 0.9998616  0.0688601    14.520  < 2e-16 ***
ORIG_ID541                -1.6064591  0.1114702   -14.412  < 2e-16 ***
ORIG_ID547                -1.0653935  0.1534341    -6.944 3.82e-12 ***
ORIG_ID548                -1.3090662  0.1424718    -9.188  < 2e-16 ***
ORIG_ID557                -1.5171835  0.0958027   -15.837  < 2e-16 ***
ORIG_ID558                -0.6424804  0.0779630    -8.241  < 2e-16 ***
ORIG_ID559                -1.1253128  0.0762500   -14.758  < 2e-16 ***
ORIG_ID560                 1.6365604  0.0686963    23.823  < 2e-16 ***
ORIG_ID562                -0.2317289  0.0818148    -2.832 0.004621 ** 
ORIG_ID577                -1.2569569  0.0808884   -15.539  < 2e-16 ***
ORIG_ID578                 1.4161961  0.0686854    20.619  < 2e-16 ***
ORIG_ID595                -0.1443116  0.0735000    -1.963 0.049597 *  
ORIG_ID596                 0.2655179  0.0697958     3.804 0.000142 ***
ORIG_ID597                 0.8557924  0.0690621    12.392  < 2e-16 ***
ORIG_ID598                 2.2161573  0.0685185    32.344  < 2e-16 ***
ORIG_ID60                  0.6875381  0.2286760     3.007 0.002642 ** 
ORIG_ID600                 1.9821869  0.0692882    28.608  < 2e-16 ***
ORIG_ID61                  0.4978804  0.0789491     6.306 2.86e-10 ***
ORIG_ID613                 0.0697029  0.0747605     0.932 0.351157    
ORIG_ID614                -2.0759379  0.0964530   -21.523  < 2e-16 ***
ORIG_ID615                 1.7865357  0.0686474    26.025  < 2e-16 ***
ORIG_ID616                 1.7871332  0.0686046    26.050  < 2e-16 ***
ORIG_ID617                 0.3166967  0.0705645     4.488 7.19e-06 ***
ORIG_ID62                 -1.3061878  0.1558229    -8.383  < 2e-16 ***
ORIG_ID633                -0.0382894  0.0727775    -0.526 0.598808    
ORIG_ID634                 1.0702888  0.0690242    15.506  < 2e-16 ***
ORIG_ID635                 0.4580512  0.0695997     6.581 4.67e-11 ***
ORIG_ID636                 1.8613236  0.0685848    27.139  < 2e-16 ***
ORIG_ID638                -0.3551031  0.0779610    -4.555 5.24e-06 ***
ORIG_ID654                -0.7119494  0.0725953    -9.807  < 2e-16 ***
ORIG_ID657                -0.8580881  0.0806127   -10.645  < 2e-16 ***
ORIG_ID662                -1.3545284  0.1261306   -10.739  < 2e-16 ***
ORIG_ID671                -0.3655015  0.0742934    -4.920 8.67e-07 ***
ORIG_ID673                -1.0820929  0.0726400   -14.897  < 2e-16 ***
ORIG_ID674                 1.2256097  0.0687747    17.821  < 2e-16 ***
ORIG_ID682                 0.6412793  0.0809925     7.918 2.42e-15 ***
ORIG_ID689                 0.3076143  0.0735705     4.181 2.90e-05 ***
ORIG_ID690                 0.8084512  0.0696737    11.603  < 2e-16 ***
ORIG_ID691                -1.7277135  0.0772726   -22.359  < 2e-16 ***
ORIG_ID692                 1.8697603  0.0685509    27.276  < 2e-16 ***
ORIG_ID693                 0.6460314  0.0701831     9.205  < 2e-16 ***
ORIG_ID695                 2.0458497  0.0687379    29.763  < 2e-16 ***
ORIG_ID700                 0.5027152  0.0772880     6.504 7.80e-11 ***
ORIG_ID710                -2.0753762  0.0803520   -25.829  < 2e-16 ***
ORIG_ID711                 0.8114480  0.0688280    11.790  < 2e-16 ***
ORIG_ID712                 0.2301652  0.0693882     3.317 0.000910 ***
ORIG_ID713                 0.9087503  0.0697857    13.022  < 2e-16 ***
ORIG_ID714                 1.2073376  0.0692048    17.446  < 2e-16 ***
ORIG_ID715                 0.0627993  0.0711655     0.882 0.377539    
ORIG_ID727                -1.4391425  0.0919867   -15.645  < 2e-16 ***
ORIG_ID728                 1.6236671  0.0688198    23.593  < 2e-16 ***
ORIG_ID729                 1.7657714  0.0685538    25.757  < 2e-16 ***
ORIG_ID730                 0.8695462  0.0688134    12.636  < 2e-16 ***
ORIG_ID731                 1.6178503  0.0688262    23.506  < 2e-16 ***
ORIG_ID732                -0.1003130  0.0729648    -1.375 0.169189    
ORIG_ID733                 1.7564401  0.0686428    25.588  < 2e-16 ***
ORIG_ID734                 1.0894092  0.0691890    15.745  < 2e-16 ***
ORIG_ID738                 0.0222961  0.0771692     0.289 0.772639    
ORIG_ID746                -0.5050957  0.0797306    -6.335 2.37e-10 ***
ORIG_ID748                -1.0385294  0.0720968   -14.405  < 2e-16 ***
ORIG_ID749                 1.1099496  0.0687560    16.143  < 2e-16 ***
ORIG_ID750                 1.4123088  0.0686645    20.568  < 2e-16 ***
ORIG_ID751                 1.2784710  0.0689535    18.541  < 2e-16 ***
ORIG_ID752                 0.9956606  0.0692347    14.381  < 2e-16 ***
ORIG_ID753                 2.6673903  0.0684694    38.957  < 2e-16 ***
ORIG_ID754                 2.4213317  0.0686810    35.255  < 2e-16 ***
ORIG_ID757                -1.2709888  0.1032533   -12.309  < 2e-16 ***
ORIG_ID764                -1.4744939  0.1058755   -13.927  < 2e-16 ***
ORIG_ID766                 0.8417599  0.0690580    12.189  < 2e-16 ***
ORIG_ID767                 0.7522771  0.0690155    10.900  < 2e-16 ***
ORIG_ID768                 0.7108948  0.0689530    10.310  < 2e-16 ***
ORIG_ID769                 0.0345517  0.0698452     0.495 0.620820    
ORIG_ID770                 1.2899985  0.0688440    18.738  < 2e-16 ***
ORIG_ID771                 1.3372998  0.0687343    19.456  < 2e-16 ***
ORIG_ID772                 0.8730026  0.0691730    12.621  < 2e-16 ***
ORIG_ID773                 2.5221452  0.0686907    36.717  < 2e-16 ***
ORIG_ID774                -0.8819090  0.0881981    -9.999  < 2e-16 ***
ORIG_ID775                -1.4578326  0.1058727   -13.770  < 2e-16 ***
ORIG_ID776                 0.1489050  0.0754143     1.974 0.048326 *  
ORIG_ID78                  0.2179459  0.0934334     2.333 0.019667 *  
ORIG_ID784                 0.2745173  0.0738002     3.720 0.000199 ***
ORIG_ID785                 0.0804894  0.0705464     1.141 0.253893    
ORIG_ID786                 0.0909437  0.0704348     1.291 0.196643    
ORIG_ID787                 1.1167725  0.0694680    16.076  < 2e-16 ***
ORIG_ID788                 2.1232016  0.0685013    30.995  < 2e-16 ***
ORIG_ID789                 2.0522370  0.0688230    29.819  < 2e-16 ***
ORIG_ID79                  1.1502963  0.1348597     8.530  < 2e-16 ***
ORIG_ID790                -0.5555957  0.0714898    -7.772 7.75e-15 ***
ORIG_ID791                -0.0471343  0.0703171    -0.670 0.502660    
ORIG_ID792                 0.0168333  0.0704443     0.239 0.811138    
ORIG_ID793                -1.9001928  0.1084691   -17.518  < 2e-16 ***
ORIG_ID794                -1.6484174  0.1011372   -16.299  < 2e-16 ***
ORIG_ID795                 0.0760816  0.0741176     1.026 0.304657    
ORIG_ID80                  1.4031932  0.0719195    19.511  < 2e-16 ***
ORIG_ID803                -0.2907201  0.0718413    -4.047 5.19e-05 ***
ORIG_ID804                 0.3300796  0.0698058     4.729 2.26e-06 ***
ORIG_ID805                -1.7848128  0.0844810   -21.127  < 2e-16 ***
ORIG_ID806                 1.4138056  0.0686699    20.588  < 2e-16 ***
ORIG_ID807                 0.4245790  0.0710861     5.973 2.33e-09 ***
ORIG_ID809                 1.4052459  0.0686887    20.458  < 2e-16 ***
ORIG_ID81                 -2.3843835  0.1760363   -13.545  < 2e-16 ***
ORIG_ID810                -0.8277996  0.0726167   -11.400  < 2e-16 ***
ORIG_ID811                -0.4075510  0.0736232    -5.536 3.10e-08 ***
ORIG_ID812                -1.3796467  0.0879295   -15.690  < 2e-16 ***
ORIG_ID813                -1.2083343  0.0870150   -13.887  < 2e-16 ***
ORIG_ID814                -0.1889056  0.0790751    -2.389 0.016897 *  
ORIG_ID82                 -0.9194699  0.1271502    -7.231 4.78e-13 ***
ORIG_ID822                 0.3947818  0.0729109     5.415 6.14e-08 ***
ORIG_ID823                 0.7335720  0.0690551    10.623  < 2e-16 ***
ORIG_ID824                -2.0606200  0.0848463   -24.287  < 2e-16 ***
ORIG_ID825                 0.5850091  0.0693986     8.430  < 2e-16 ***
ORIG_ID826                 1.3156529  0.0687299    19.142  < 2e-16 ***
ORIG_ID829                 1.1442814  0.0688065    16.630  < 2e-16 ***
ORIG_ID831                 1.4440853  0.0691732    20.876  < 2e-16 ***
ORIG_ID832                -0.9821387  0.0790443   -12.425  < 2e-16 ***
ORIG_ID833                -0.2143303  0.0731730    -2.929 0.003400 ** 
ORIG_ID840                 0.0754227  0.0714310     1.056 0.291022    
ORIG_ID841                 0.8768942  0.0689142    12.724  < 2e-16 ***
ORIG_ID842                 1.9436180  0.0685137    28.368  < 2e-16 ***
ORIG_ID843                -1.3809768  0.0788480   -17.514  < 2e-16 ***
ORIG_ID844                -0.8740486  0.0792723   -11.026  < 2e-16 ***
ORIG_ID845                 0.8153153  0.0692413    11.775  < 2e-16 ***
ORIG_ID846                -1.9611885  0.0818675   -23.956  < 2e-16 ***
ORIG_ID847                 2.5610955  0.0684631    37.408  < 2e-16 ***
ORIG_ID850                -3.2331466  0.2966596   -10.899  < 2e-16 ***
ORIG_ID851                 2.4314093  0.0686309    35.427  < 2e-16 ***
ORIG_ID852                -1.6897713  0.1146632   -14.737  < 2e-16 ***
ORIG_ID859                 0.0364421  0.0707700     0.515 0.606597    
ORIG_ID860                 2.0350091  0.0686666    29.636  < 2e-16 ***
ORIG_ID861                 2.2605928  0.0684815    33.010  < 2e-16 ***
ORIG_ID862                -0.1952467  0.0745834    -2.618 0.008849 ** 
ORIG_ID863                 0.2342004  0.0705155     3.321 0.000896 ***
ORIG_ID864                -1.3664260  0.0752071   -18.169  < 2e-16 ***
ORIG_ID865                 1.1909833  0.0688906    17.288  < 2e-16 ***
ORIG_ID866                -0.8300561  0.0717753   -11.565  < 2e-16 ***
ORIG_ID867                 1.1707542  0.0689915    16.970  < 2e-16 ***
ORIG_ID869                -0.5957960  0.0909415    -6.551 5.70e-11 ***
ORIG_ID871                -1.2682007  0.0802124   -15.811  < 2e-16 ***
ORIG_ID878                 0.5269714  0.0692887     7.605 2.84e-14 ***
ORIG_ID879                 1.2194598  0.0686692    17.758  < 2e-16 ***
ORIG_ID880                 1.1057492  0.0688387    16.063  < 2e-16 ***
ORIG_ID882                 0.4296091  0.0696651     6.167 6.97e-10 ***
ORIG_ID883                -0.2330944  0.0707700    -3.294 0.000989 ***
ORIG_ID884                -0.3793306  0.0711361    -5.332 9.69e-08 ***
ORIG_ID885                 1.5117752  0.0686705    22.015  < 2e-16 ***
ORIG_ID886                 1.0380256  0.0695215    14.931  < 2e-16 ***
ORIG_ID890                -0.8848436  0.0740136   -11.955  < 2e-16 ***
ORIG_ID891                 3.1176120  0.0686560    45.409  < 2e-16 ***
ORIG_ID897                 0.5495270  0.0694551     7.912 2.53e-15 ***
ORIG_ID898                 0.6817814  0.0691291     9.862  < 2e-16 ***
ORIG_ID899                -0.0479599  0.0697969    -0.687 0.491998    
ORIG_ID900                -0.3964755  0.0708100    -5.599 2.15e-08 ***
ORIG_ID901                 1.3705458  0.0687752    19.928  < 2e-16 ***
ORIG_ID902                 0.2719622  0.0698894     3.891 9.97e-05 ***
ORIG_ID903                -0.7960373  0.0816439    -9.750  < 2e-16 ***
ORIG_ID904                 1.6483148  0.0686969    23.994  < 2e-16 ***
ORIG_ID905                 1.5562459  0.0689771    22.562  < 2e-16 ***
ORIG_ID907                -0.3691071  0.0809067    -4.562 5.06e-06 ***
ORIG_ID909                 2.1098026  0.0686351    30.739  < 2e-16 ***
ORIG_ID910                 2.3270915  0.0686085    33.918  < 2e-16 ***
ORIG_ID915                -0.4705889  0.0756801    -6.218 5.03e-10 ***
ORIG_ID916                 0.0164493  0.0717598     0.229 0.818692    
ORIG_ID917                -0.1937099  0.0706648    -2.741 0.006121 ** 
ORIG_ID918                -0.2266948  0.0705187    -3.215 0.001306 ** 
ORIG_ID919                -1.0210149  0.0737552   -13.843  < 2e-16 ***
ORIG_ID920                 1.2515576  0.0688486    18.178  < 2e-16 ***
ORIG_ID922                 0.6177135  0.0707759     8.728  < 2e-16 ***
ORIG_ID923                 2.1936919  0.0687245    31.920  < 2e-16 ***
ORIG_ID927                 0.5611474  0.0704966     7.960 1.72e-15 ***
ORIG_ID928                 1.7115373  0.0688283    24.867  < 2e-16 ***
ORIG_ID929                -1.3111324  0.0827783   -15.839  < 2e-16 ***
ORIG_ID935                 0.1373500  0.0699415     1.964 0.049555 *  
ORIG_ID936                 0.5565933  0.0692583     8.036 9.25e-16 ***
ORIG_ID937                 0.7553796  0.0690584    10.938  < 2e-16 ***
ORIG_ID938                -0.0566928  0.0702213    -0.807 0.419468    
ORIG_ID939                 0.7580194  0.0690154    10.983  < 2e-16 ***
ORIG_ID945                 1.1580568  0.0709512    16.322  < 2e-16 ***
ORIG_ID947                 1.6138860  0.0687094    23.489  < 2e-16 ***
ORIG_ID948                 1.5690700  0.0688779    22.780  < 2e-16 ***
ORIG_ID953                 0.4773903  0.0694199     6.877 6.12e-12 ***
ORIG_ID954                -0.2686068  0.0703718    -3.817 0.000135 ***
ORIG_ID955                 0.9319024  0.0689374    13.518  < 2e-16 ***
ORIG_ID956                 0.1989455  0.0697553     2.852 0.004344 ** 
ORIG_ID964                -1.4926202  0.1558245    -9.579  < 2e-16 ***
ORIG_ID966                 1.8854796  0.0686567    27.462  < 2e-16 ***
ORIG_ID967                 0.9951321  0.0699961    14.217  < 2e-16 ***
ORIG_ID972                 0.5428683  0.0695623     7.804 5.99e-15 ***
ORIG_ID973                -1.3314871  0.0755071   -17.634  < 2e-16 ***
ORIG_ID974                -0.3141053  0.0699134    -4.493 7.03e-06 ***
ORIG_ID975                -0.0237348  0.0703463    -0.337 0.735816    
ORIG_ID977                 0.7221151  0.0691333    10.445  < 2e-16 ***
ORIG_ID983                -1.2904795  0.1232862   -10.467  < 2e-16 ***
ORIG_ID985                 1.0979946  0.0692406    15.858  < 2e-16 ***
ORIG_ID986                -0.0926514  0.0714345    -1.297 0.194627    
ORIG_ID99                  0.6064953  0.1062823     5.706 1.15e-08 ***
ORIG_ID990                -1.4988575  0.1056751   -14.184  < 2e-16 ***
ORIG_ID991                -1.5317646  0.0871645   -17.573  < 2e-16 ***
ORIG_ID992                -0.9573682  0.0817166   -11.716  < 2e-16 ***
ORIG_ID993                 1.5071538  0.0686037    21.969  < 2e-16 ***
ORIG_ID994                -0.9426647  0.0745034   -12.653  < 2e-16 ***
ORIG_ID995                 0.6596797  0.0691938     9.534  < 2e-16 ***
log(DESTIN.Entertainment) -0.0235908  0.0013102   -18.005  < 2e-16 ***
log(DESTIN.Retails)        0.0065815  0.0004094    16.076  < 2e-16 ***
log(DESTIN.Leisure)       -0.1002499  0.0006659  -150.554  < 2e-16 ***
log(DESTIN.FinServ)        0.5493402  0.0005689   965.636  < 2e-16 ***
log(DESTIN.FoodBev)       -0.0844284  0.0004861  -173.679  < 2e-16 ***
log(DESTIN.trainstation)   0.0762556  0.0013395    56.930  < 2e-16 ***
log(DESTIN.busstop)        0.3889504  0.0008376   464.351  < 2e-16 ***
log(dists)                -1.5089444  0.0004521 -3337.485  < 2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for poisson family taken to be 1)

    Null deviance: 29522779  on 62704  degrees of freedom
Residual deviance:  9467584  on 61880  degrees of freedom
AIC: 9766335

Number of Fisher Scoring iterations: 7

Similar to the Unconstrained Model, it can be seen that most p-value for each factor is much lower than 0.05, showing that most of them are statistically significant.

Let’s calculated the R-Squared value.

CalcRSquared(orcSIM$data$TOTAL_TRIP, orcSIM$fitted.values)
[1] 0.4496127

The R-Squared value indicates that the model can account for roughly 44.96% of the variation in the number of trips between each pair of origin-destination.

Destination Constrained Model

In a Destination Constrained Model, the destination cells will have no parameters as it is assumed to be a known constraint. According to Farmer & Oshan (2017), the Destination Constrained Model “takes as given the in flows to each destination and allocates the interactions to the various origins.”

decSIM <- glm(TOTAL_TRIP ~
                log(ORIG.Entertainment)+
                log(ORIG.Retails)+
                log(ORIG.Leisure)+
                log(ORIG.FinServ)+
                log(ORIG.FoodBev)+
                log(ORIG.trainstation)+
                log(ORIG.busstop)+
                log(ORIG.capacity)+
                DESTIN_ID+
                log(dists),
              family = poisson(link = 'log'),
              data = final_df,
              na.action = na.exclude)
summary(decSIM)

Call:
glm(formula = TOTAL_TRIP ~ log(ORIG.Entertainment) + log(ORIG.Retails) + 
    log(ORIG.Leisure) + log(ORIG.FinServ) + log(ORIG.FoodBev) + 
    log(ORIG.trainstation) + log(ORIG.busstop) + log(ORIG.capacity) + 
    DESTIN_ID + log(dists), family = poisson(link = "log"), data = final_df, 
    na.action = na.exclude)

Coefficients:
                          Estimate Std. Error   z value Pr(>|z|)    
(Intercept)             11.2499196  0.2886929    38.968  < 2e-16 ***
log(ORIG.Entertainment) -0.0197765  0.0014449   -13.687  < 2e-16 ***
log(ORIG.Retails)       -0.0024732  0.0004084    -6.056 1.40e-09 ***
log(ORIG.Leisure)       -0.1216476  0.0006614  -183.935  < 2e-16 ***
log(ORIG.FinServ)        0.3863727  0.0005652   683.623  < 2e-16 ***
log(ORIG.FoodBev)       -0.0448210  0.0005206   -86.087  < 2e-16 ***
log(ORIG.trainstation)   0.0165667  0.0014430    11.480  < 2e-16 ***
log(ORIG.busstop)        0.3092045  0.0008933   346.126  < 2e-16 ***
log(ORIG.capacity)       0.0678572  0.0001257   539.794  < 2e-16 ***
DESTIN_ID1001            4.7868128  0.2891540    16.555  < 2e-16 ***
DESTIN_ID1002            1.0948833  0.3149718     3.476 0.000509 ***
DESTIN_ID1003            3.7547891  0.2891657    12.985  < 2e-16 ***
DESTIN_ID1004            6.0194636  0.2886903    20.851  < 2e-16 ***
DESTIN_ID1005            3.2650067  0.2896095    11.274  < 2e-16 ***
DESTIN_ID101             4.5483528  0.2892910    15.722  < 2e-16 ***
DESTIN_ID1010            2.6672848  0.2894506     9.215  < 2e-16 ***
DESTIN_ID1011            2.0723045  0.2898833     7.149 8.76e-13 ***
DESTIN_ID1012            2.2516391  0.2895510     7.776 7.47e-15 ***
DESTIN_ID1013            2.9158870  0.2890224    10.089  < 2e-16 ***
DESTIN_ID1014            2.7242175  0.2895558     9.408  < 2e-16 ***
DESTIN_ID102             0.4142177  0.3489914     1.187 0.235267    
DESTIN_ID1023            4.1865935  0.2888254    14.495  < 2e-16 ***
DESTIN_ID1024            4.1387577  0.2888048    14.331  < 2e-16 ***
DESTIN_ID1025            4.3304671  0.2890385    14.982  < 2e-16 ***
DESTIN_ID1028            2.2494866  0.2897327     7.764 8.23e-15 ***
DESTIN_ID1030            1.5093303  0.2916842     5.175 2.28e-07 ***
DESTIN_ID1031            3.8287427  0.2887919    13.258  < 2e-16 ***
DESTIN_ID1033            3.4190586  0.2889370    11.833  < 2e-16 ***
DESTIN_ID1040            0.9876643  0.3109136     3.177 0.001490 ** 
DESTIN_ID1041            2.8768190  0.2899486     9.922  < 2e-16 ***
DESTIN_ID1042            4.2299991  0.2887669    14.648  < 2e-16 ***
DESTIN_ID1043            3.1727996  0.2890798    10.976  < 2e-16 ***
DESTIN_ID1048            2.0576456  0.2895130     7.107 1.18e-12 ***
DESTIN_ID1049            3.2971122  0.2888631    11.414  < 2e-16 ***
DESTIN_ID1050            4.2909325  0.2887467    14.861  < 2e-16 ***
DESTIN_ID1061            4.4133129  0.2887931    15.282  < 2e-16 ***
DESTIN_ID1062            5.1684285  0.2887213    17.901  < 2e-16 ***
DESTIN_ID1063            2.4512815  0.2900255     8.452  < 2e-16 ***
DESTIN_ID1066            3.2474683  0.2889299    11.240  < 2e-16 ***
DESTIN_ID1067            3.8571341  0.2887783    13.357  < 2e-16 ***
DESTIN_ID1068            4.0364754  0.2887554    13.979  < 2e-16 ***
DESTIN_ID1069            3.1779294  0.2889044    11.000  < 2e-16 ***
DESTIN_ID1071            2.4058649  0.2895866     8.308  < 2e-16 ***
DESTIN_ID1078            2.8112358  0.2925095     9.611  < 2e-16 ***
DESTIN_ID1080            3.9943717  0.2888515    13.828  < 2e-16 ***
DESTIN_ID1081            3.4943221  0.2889462    12.093  < 2e-16 ***
DESTIN_ID1082            2.1537942  0.2907860     7.407 1.29e-13 ***
DESTIN_ID1086            3.0789547  0.2889629    10.655  < 2e-16 ***
DESTIN_ID1087            3.7795290  0.2888069    13.087  < 2e-16 ***
DESTIN_ID1089            3.3628526  0.2889099    11.640  < 2e-16 ***
DESTIN_ID1090            2.8531706  0.2891483     9.867  < 2e-16 ***
DESTIN_ID1097            0.7803078  0.3651486     2.137 0.032601 *  
DESTIN_ID1100            3.9714563  0.2888270    13.750  < 2e-16 ***
DESTIN_ID1101           -0.2975930  0.3234363    -0.920 0.357522    
DESTIN_ID1102            2.0473462  0.2931179     6.985 2.85e-12 ***
DESTIN_ID1104            3.9003595  0.2888023    13.505  < 2e-16 ***
DESTIN_ID1105            3.7306879  0.2887797    12.919  < 2e-16 ***
DESTIN_ID1106            3.3304090  0.2892106    11.516  < 2e-16 ***
DESTIN_ID1107            2.9317291  0.2891029    10.141  < 2e-16 ***
DESTIN_ID1108            3.1449082  0.2890130    10.882  < 2e-16 ***
DESTIN_ID1115            1.8931677  0.2970852     6.372 1.86e-10 ***
DESTIN_ID1116            2.0968578  0.2965867     7.070 1.55e-12 ***
DESTIN_ID1119            1.6300158  0.2903958     5.613 1.99e-08 ***
DESTIN_ID1120            2.8173260  0.2896505     9.727  < 2e-16 ***
DESTIN_ID1123            2.5617318  0.2892259     8.857  < 2e-16 ***
DESTIN_ID1124            3.1106234  0.2889177    10.766  < 2e-16 ***
DESTIN_ID1125            3.7105572  0.2887882    12.849  < 2e-16 ***
DESTIN_ID1128            3.5567028  0.2888767    12.312  < 2e-16 ***
DESTIN_ID1138            2.7958020  0.2892102     9.667  < 2e-16 ***
DESTIN_ID1139            3.4495179  0.2890498    11.934  < 2e-16 ***
DESTIN_ID1140            2.8487618  0.2898920     9.827  < 2e-16 ***
DESTIN_ID1142            2.2533348  0.2893976     7.786 6.90e-15 ***
DESTIN_ID1143            4.1131340  0.2887449    14.245  < 2e-16 ***
DESTIN_ID1144            2.7232412  0.2891637     9.418  < 2e-16 ***
DESTIN_ID1145            2.9129158  0.2891768    10.073  < 2e-16 ***
DESTIN_ID1146            3.2278524  0.2890142    11.168  < 2e-16 ***
DESTIN_ID1147            2.6457470  0.2896092     9.136  < 2e-16 ***
DESTIN_ID1152            0.1595264  0.3311337     0.482 0.629978    
DESTIN_ID1153            3.1976319  0.2893649    11.051  < 2e-16 ***
DESTIN_ID1157            4.5614029  0.2887590    15.797  < 2e-16 ***
DESTIN_ID1158            2.3049143  0.2897849     7.954 1.81e-15 ***
DESTIN_ID116             4.8354365  0.2902276    16.661  < 2e-16 ***
DESTIN_ID1161            5.3903989  0.2887054    18.671  < 2e-16 ***
DESTIN_ID1162            3.7736013  0.2887855    13.067  < 2e-16 ***
DESTIN_ID1163            4.2001323  0.2887428    14.546  < 2e-16 ***
DESTIN_ID1164            2.4362636  0.2894557     8.417  < 2e-16 ***
DESTIN_ID1167            1.1747723  0.2952382     3.979 6.92e-05 ***
DESTIN_ID117             0.5720653  0.4281746     1.336 0.181531    
DESTIN_ID1171            0.8495739  0.3008796     2.824 0.004748 ** 
DESTIN_ID1172            4.1679906  0.2889318    14.426  < 2e-16 ***
DESTIN_ID1173            2.6115854  0.2899524     9.007  < 2e-16 ***
DESTIN_ID1176            3.2363944  0.2889724    11.200  < 2e-16 ***
DESTIN_ID1177            3.9916166  0.2888830    13.817  < 2e-16 ***
DESTIN_ID118             2.0663170  0.3121186     6.620 3.58e-11 ***
DESTIN_ID1180            4.1458283  0.2887739    14.357  < 2e-16 ***
DESTIN_ID1181            3.7755890  0.2887615    13.075  < 2e-16 ***
DESTIN_ID1183            2.6061469  0.2904739     8.972  < 2e-16 ***
DESTIN_ID1184            3.7570780  0.2888422    13.007  < 2e-16 ***
DESTIN_ID1186            0.3106790  0.3234362     0.961 0.336775    
DESTIN_ID119             1.3036943  0.3044326     4.282 1.85e-05 ***
DESTIN_ID1192            1.4847344  0.2921415     5.082 3.73e-07 ***
DESTIN_ID1193            2.1556016  0.2897195     7.440 1.00e-13 ***
DESTIN_ID1194            1.6594168  0.2905935     5.710 1.13e-08 ***
DESTIN_ID1195            5.0173608  0.2887274    17.378  < 2e-16 ***
DESTIN_ID1196            2.6962546  0.2897380     9.306  < 2e-16 ***
DESTIN_ID1198            4.3690365  0.2893466    15.100  < 2e-16 ***
DESTIN_ID1199            2.1912153  0.2895136     7.569 3.77e-14 ***
DESTIN_ID120             2.2075763  0.3016079     7.319 2.49e-13 ***
DESTIN_ID1200            3.7057792  0.2887815    12.832  < 2e-16 ***
DESTIN_ID1201            3.6413743  0.2887941    12.609  < 2e-16 ***
DESTIN_ID1202            3.1669873  0.2889129    10.962  < 2e-16 ***
DESTIN_ID1203            3.3311113  0.2890709    11.524  < 2e-16 ***
DESTIN_ID1204            4.0982153  0.2889473    14.183  < 2e-16 ***
DESTIN_ID1205           -0.5973058  0.3687355    -1.620 0.105259    
DESTIN_ID1207            2.3929787  0.2895527     8.264  < 2e-16 ***
DESTIN_ID1208            2.8174204  0.2894033     9.735  < 2e-16 ***
DESTIN_ID1209            2.7113472  0.2897153     9.359  < 2e-16 ***
DESTIN_ID121             0.9511616  0.3050284     3.118 0.001819 ** 
DESTIN_ID1210            0.9025414  0.3106336     2.905 0.003667 ** 
DESTIN_ID1211            1.8310162  0.2915219     6.281 3.37e-10 ***
DESTIN_ID1212           -0.1991224  0.3037489    -0.656 0.512114    
DESTIN_ID1213            4.8364112  0.2887306    16.751  < 2e-16 ***
DESTIN_ID1214            4.0925118  0.2888407    14.169  < 2e-16 ***
DESTIN_ID1215           -0.2109948  0.3687356    -0.572 0.567178    
DESTIN_ID1218            3.1751463  0.2890122    10.986  < 2e-16 ***
DESTIN_ID1219            4.7656859  0.2887176    16.506  < 2e-16 ***
DESTIN_ID122             4.6496669  0.2890177    16.088  < 2e-16 ***
DESTIN_ID1220            3.6526343  0.2887924    12.648  < 2e-16 ***
DESTIN_ID1221            4.4154945  0.2887638    15.291  < 2e-16 ***
DESTIN_ID1222            2.6225734  0.2897462     9.051  < 2e-16 ***
DESTIN_ID1225            3.9129951  0.2888078    13.549  < 2e-16 ***
DESTIN_ID1226            1.9462031  0.2898725     6.714 1.89e-11 ***
DESTIN_ID1227            3.0360522  0.2891352    10.500  < 2e-16 ***
DESTIN_ID1229            1.5179874  0.2933338     5.175 2.28e-07 ***
DESTIN_ID1230            4.6994391  0.2887497    16.275  < 2e-16 ***
DESTIN_ID1231            3.6477110  0.2888541    12.628  < 2e-16 ***
DESTIN_ID1232            3.2209062  0.2889579    11.147  < 2e-16 ***
DESTIN_ID1233            4.3867450  0.2888172    15.189  < 2e-16 ***
DESTIN_ID1234            0.8800818  0.3141952     2.801 0.005093 ** 
DESTIN_ID1238            2.7492549  0.2889694     9.514  < 2e-16 ***
DESTIN_ID1239            2.6912008  0.2889712     9.313  < 2e-16 ***
DESTIN_ID1240            5.0384896  0.2887048    17.452  < 2e-16 ***
DESTIN_ID1241            3.1210680  0.2890214    10.799  < 2e-16 ***
DESTIN_ID1242            1.8218358  0.2901820     6.278 3.42e-10 ***
DESTIN_ID1243            1.0987817  0.2922782     3.759 0.000170 ***
DESTIN_ID1244            2.4388796  0.2892119     8.433  < 2e-16 ***
DESTIN_ID1245            3.7935038  0.2889037    13.131  < 2e-16 ***
DESTIN_ID1246            2.3600356  0.2899635     8.139 3.98e-16 ***
DESTIN_ID1249            1.7192851  0.2923010     5.882 4.06e-09 ***
DESTIN_ID1250            4.8572862  0.2887202    16.824  < 2e-16 ***
DESTIN_ID1251            5.4353612  0.2887011    18.827  < 2e-16 ***
DESTIN_ID1252            4.3936101  0.2888033    15.213  < 2e-16 ***
DESTIN_ID1253            2.1255120  0.2906611     7.313 2.62e-13 ***
DESTIN_ID1256            3.2629198  0.2888550    11.296  < 2e-16 ***
DESTIN_ID1257            2.8630002  0.2889036     9.910  < 2e-16 ***
DESTIN_ID1258            3.4105808  0.2888321    11.808  < 2e-16 ***
DESTIN_ID1259            4.0699026  0.2887901    14.093  < 2e-16 ***
DESTIN_ID1260            3.0221027  0.2909347    10.388  < 2e-16 ***
DESTIN_ID1261            1.5240756  0.2903191     5.250 1.52e-07 ***
DESTIN_ID1262            3.5642217  0.2888121    12.341  < 2e-16 ***
DESTIN_ID1263            3.5378880  0.2888201    12.249  < 2e-16 ***
DESTIN_ID1264            3.9877169  0.2887937    13.808  < 2e-16 ***
DESTIN_ID1265            3.7632080  0.2888306    13.029  < 2e-16 ***
DESTIN_ID1266            2.7187072  0.2896212     9.387  < 2e-16 ***
DESTIN_ID1268            3.5341762  0.2890146    12.228  < 2e-16 ***
DESTIN_ID1269            4.7031324  0.2887229    16.289  < 2e-16 ***
DESTIN_ID1270            3.9222974  0.2888223    13.580  < 2e-16 ***
DESTIN_ID1272            4.4802469  0.2893635    15.483  < 2e-16 ***
DESTIN_ID1276            4.0263290  0.2887453    13.944  < 2e-16 ***
DESTIN_ID1277            2.9892094  0.2889234    10.346  < 2e-16 ***
DESTIN_ID1278            4.7281557  0.2887148    16.377  < 2e-16 ***
DESTIN_ID1279            3.7952123  0.2888027    13.141  < 2e-16 ***
DESTIN_ID1280            2.9861922  0.2889160    10.336  < 2e-16 ***
DESTIN_ID1281            2.8964221  0.2889663    10.023  < 2e-16 ***
DESTIN_ID1282            3.0866747  0.2889517    10.682  < 2e-16 ***
DESTIN_ID1283            2.9500557  0.2889192    10.211  < 2e-16 ***
DESTIN_ID1284            3.6540056  0.2888172    12.652  < 2e-16 ***
DESTIN_ID1285            3.1024913  0.2889979    10.735  < 2e-16 ***
DESTIN_ID1288            3.7366394  0.2888580    12.936  < 2e-16 ***
DESTIN_ID1289            4.2424543  0.2887941    14.690  < 2e-16 ***
DESTIN_ID1294            3.4116563  0.2888728    11.810  < 2e-16 ***
DESTIN_ID1295            5.0773920  0.2887021    17.587  < 2e-16 ***
DESTIN_ID1296            4.2546153  0.2887305    14.736  < 2e-16 ***
DESTIN_ID1297            2.2479662  0.2898431     7.756 8.78e-15 ***
DESTIN_ID1298            4.1863848  0.2887500    14.498  < 2e-16 ***
DESTIN_ID1299            3.6557078  0.2887815    12.659  < 2e-16 ***
DESTIN_ID1300            1.1677255  0.2906727     4.017 5.89e-05 ***
DESTIN_ID1301            3.8867383  0.2887773    13.459  < 2e-16 ***
DESTIN_ID1302            4.3686511  0.2887264    15.131  < 2e-16 ***
DESTIN_ID1303            4.4210133  0.2887426    15.311  < 2e-16 ***
DESTIN_ID1304            1.6201476  0.2910665     5.566 2.60e-08 ***
DESTIN_ID1306            2.9100462  0.2892804    10.060  < 2e-16 ***
DESTIN_ID1307            4.0479929  0.2888109    14.016  < 2e-16 ***
DESTIN_ID1308            3.1515221  0.2892964    10.894  < 2e-16 ***
DESTIN_ID1314            3.4847674  0.2888034    12.066  < 2e-16 ***
DESTIN_ID1315            3.8445793  0.2887617    13.314  < 2e-16 ***
DESTIN_ID1316            3.1486145  0.2889578    10.896  < 2e-16 ***
DESTIN_ID1317            2.7862814  0.2890625     9.639  < 2e-16 ***
DESTIN_ID1318            3.7289971  0.2888007    12.912  < 2e-16 ***
DESTIN_ID1319            4.4451140  0.2887554    15.394  < 2e-16 ***
DESTIN_ID1320            5.0579290  0.2887033    17.519  < 2e-16 ***
DESTIN_ID1321            3.3106108  0.2888379    11.462  < 2e-16 ***
DESTIN_ID1322            4.0739193  0.2887557    14.109  < 2e-16 ***
DESTIN_ID1323            2.2662885  0.2895972     7.826 5.05e-15 ***
DESTIN_ID1326            4.0673886  0.2888265    14.082  < 2e-16 ***
DESTIN_ID1327            3.7317920  0.2889827    12.914  < 2e-16 ***
DESTIN_ID1332            2.3614695  0.2893536     8.161 3.32e-16 ***
DESTIN_ID1333            3.1336820  0.2888667    10.848  < 2e-16 ***
DESTIN_ID1334            4.4229349  0.2887175    15.319  < 2e-16 ***
DESTIN_ID1335            4.4670343  0.2887226    15.472  < 2e-16 ***
DESTIN_ID1336            3.3228121  0.2888629    11.503  < 2e-16 ***
DESTIN_ID1337            5.2464511  0.2886940    18.173  < 2e-16 ***
DESTIN_ID1338            2.9392260  0.2889019    10.174  < 2e-16 ***
DESTIN_ID1339            2.9406502  0.2888940    10.179  < 2e-16 ***
DESTIN_ID1340            5.1404324  0.2886982    17.806  < 2e-16 ***
DESTIN_ID1341            1.9564980  0.2896575     6.755 1.43e-11 ***
DESTIN_ID1342            2.2416353  0.2900674     7.728 1.09e-14 ***
DESTIN_ID1345            3.2546909  0.2892113    11.254  < 2e-16 ***
DESTIN_ID1352            2.3625016  0.2891738     8.170 3.09e-16 ***
DESTIN_ID1353            3.6198217  0.2887760    12.535  < 2e-16 ***
DESTIN_ID1354            4.8388259  0.2887041    16.761  < 2e-16 ***
DESTIN_ID1355            3.8795163  0.2887720    13.435  < 2e-16 ***
DESTIN_ID1356            3.7327643  0.2887921    12.925  < 2e-16 ***
DESTIN_ID1357            4.0634280  0.2887430    14.073  < 2e-16 ***
DESTIN_ID1358            3.7363111  0.2888669    12.934  < 2e-16 ***
DESTIN_ID1359            3.9504647  0.2887583    13.681  < 2e-16 ***
DESTIN_ID136             3.5768184  0.2969644    12.045  < 2e-16 ***
DESTIN_ID1360            3.7920942  0.2887935    13.131  < 2e-16 ***
DESTIN_ID1364            0.7419144  0.3469464     2.138 0.032483 *  
DESTIN_ID137             1.4849466  0.3264803     4.548 5.41e-06 ***
DESTIN_ID1370           -1.8114695  1.0408335    -1.740 0.081788 .  
DESTIN_ID1371            2.4259089  0.2901114     8.362  < 2e-16 ***
DESTIN_ID1372            4.4179696  0.2887202    15.302  < 2e-16 ***
DESTIN_ID1373            4.2223395  0.2887609    14.622  < 2e-16 ***
DESTIN_ID1374            3.3581210  0.2888404    11.626  < 2e-16 ***
DESTIN_ID1375            4.0961914  0.2888248    14.182  < 2e-16 ***
DESTIN_ID1376            3.3502132  0.2888396    11.599  < 2e-16 ***
DESTIN_ID1377            1.3580179  0.2901490     4.680 2.86e-06 ***
DESTIN_ID1378            4.2723201  0.2887451    14.796  < 2e-16 ***
DESTIN_ID1379            2.8118525  0.2894555     9.714  < 2e-16 ***
DESTIN_ID138             2.2517352  0.3162285     7.121 1.07e-12 ***
DESTIN_ID1380            3.0610044  0.2892506    10.583  < 2e-16 ***
DESTIN_ID1383            2.1491019  0.2908561     7.389 1.48e-13 ***
DESTIN_ID1389            2.6399101  0.2926786     9.020  < 2e-16 ***
DESTIN_ID139             1.8552704  0.2996416     6.192 5.95e-10 ***
DESTIN_ID1390            2.7300983  0.2895094     9.430  < 2e-16 ***
DESTIN_ID1391            3.7244074  0.2887954    12.896  < 2e-16 ***
DESTIN_ID1392            4.0977217  0.2887385    14.192  < 2e-16 ***
DESTIN_ID1393            3.6519264  0.2887653    12.647  < 2e-16 ***
DESTIN_ID1394            3.6971010  0.2887755    12.803  < 2e-16 ***
DESTIN_ID1395            4.3446717  0.2888636    15.041  < 2e-16 ***
DESTIN_ID1396            2.1214722  0.2897353     7.322 2.44e-13 ***
DESTIN_ID1397            2.6047147  0.2914579     8.937  < 2e-16 ***
DESTIN_ID1398            3.1009179  0.2890981    10.726  < 2e-16 ***
DESTIN_ID140             0.8685645  0.3056712     2.841 0.004490 ** 
DESTIN_ID1401            1.0192133  0.2993063     3.405 0.000661 ***
DESTIN_ID1408            3.1380273  0.2909364    10.786  < 2e-16 ***
DESTIN_ID1409            3.5790509  0.2889703    12.386  < 2e-16 ***
DESTIN_ID141             3.1894714  0.2903380    10.985  < 2e-16 ***
DESTIN_ID1410            3.4760037  0.2897765    11.995  < 2e-16 ***
DESTIN_ID1411            4.0659541  0.2887399    14.082  < 2e-16 ***
DESTIN_ID1412            4.3352918  0.2887305    15.015  < 2e-16 ***
DESTIN_ID1413            3.7387876  0.2888508    12.944  < 2e-16 ***
DESTIN_ID1414            0.9412205  0.2911588     3.233 0.001226 ** 
DESTIN_ID1415            2.8126725  0.2889504     9.734  < 2e-16 ***
DESTIN_ID1416            1.7595335  0.2897599     6.072 1.26e-09 ***
DESTIN_ID1417            1.9868144  0.2897197     6.858 7.00e-12 ***
DESTIN_ID1418            1.8038350  0.2905520     6.208 5.36e-10 ***
DESTIN_ID1419           -0.1352645  0.3282143    -0.412 0.680250    
DESTIN_ID142             1.6699533  0.3055052     5.466 4.60e-08 ***
DESTIN_ID1420            0.5618805  0.3037477     1.850 0.064339 .  
DESTIN_ID1428            2.3173226  0.2980967     7.774 7.62e-15 ***
DESTIN_ID1430            2.3691129  0.2894096     8.186 2.70e-16 ***
DESTIN_ID1431            1.5647881  0.2896655     5.402 6.59e-08 ***
DESTIN_ID1432            3.8384115  0.2887565    13.293  < 2e-16 ***
DESTIN_ID1433            3.0270542  0.2899937    10.438  < 2e-16 ***
DESTIN_ID1434            2.7714097  0.2891650     9.584  < 2e-16 ***
DESTIN_ID1435            3.7899402  0.2888347    13.121  < 2e-16 ***
DESTIN_ID1436            1.7261087  0.2898903     5.954 2.61e-09 ***
DESTIN_ID1439            1.9936951  0.2908915     6.854 7.19e-12 ***
DESTIN_ID1440            1.5259544  0.2991145     5.102 3.37e-07 ***
DESTIN_ID1448            3.9281683  0.2892104    13.582  < 2e-16 ***
DESTIN_ID1449            3.1998465  0.2888341    11.078  < 2e-16 ***
DESTIN_ID1450            3.6157218  0.2888251    12.519  < 2e-16 ***
DESTIN_ID1451            4.4328764  0.2887489    15.352  < 2e-16 ***
DESTIN_ID1452            2.7726291  0.2889829     9.594  < 2e-16 ***
DESTIN_ID1453            3.7925376  0.2887722    13.133  < 2e-16 ***
DESTIN_ID1454            3.7775763  0.2890262    13.070  < 2e-16 ***
DESTIN_ID1455            1.9698994  0.2895062     6.804 1.02e-11 ***
DESTIN_ID1456            4.0415815  0.2888079    13.994  < 2e-16 ***
DESTIN_ID1457            3.9513276  0.2888618    13.679  < 2e-16 ***
DESTIN_ID1458            1.5095353  0.2987500     5.053 4.35e-07 ***
DESTIN_ID1468            4.2328193  0.2891644    14.638  < 2e-16 ***
DESTIN_ID1469            4.1895620  0.2887345    14.510  < 2e-16 ***
DESTIN_ID1470            2.7593953  0.2890078     9.548  < 2e-16 ***
DESTIN_ID1471            4.0055590  0.2887750    13.871  < 2e-16 ***
DESTIN_ID1472            5.4273058  0.2886940    18.800  < 2e-16 ***
DESTIN_ID1473            2.6714345  0.2889840     9.244  < 2e-16 ***
DESTIN_ID1474            4.3955785  0.2887443    15.223  < 2e-16 ***
DESTIN_ID1475            2.8486359  0.2891364     9.852  < 2e-16 ***
DESTIN_ID1476            3.1732952  0.2890747    10.977  < 2e-16 ***
DESTIN_ID1477            0.3193274  0.3044341     1.049 0.294214    
DESTIN_ID1486            1.9704200  0.2916126     6.757 1.41e-11 ***
DESTIN_ID1487            3.7737725  0.2887812    13.068  < 2e-16 ***
DESTIN_ID1488            2.6491075  0.2892077     9.160  < 2e-16 ***
DESTIN_ID1489            3.2427937  0.2888672    11.226  < 2e-16 ***
DESTIN_ID1490            3.1363444  0.2890994    10.849  < 2e-16 ***
DESTIN_ID1491            3.5274044  0.2887929    12.214  < 2e-16 ***
DESTIN_ID1492            3.4774575  0.2888093    12.041  < 2e-16 ***
DESTIN_ID1493            3.7843011  0.2887839    13.104  < 2e-16 ***
DESTIN_ID1494            4.1400564  0.2888163    14.335  < 2e-16 ***
DESTIN_ID1506            0.8699211  0.3063663     2.839 0.004519 ** 
DESTIN_ID1507            4.1169595  0.2887396    14.258  < 2e-16 ***
DESTIN_ID1508            2.9966096  0.2888738    10.373  < 2e-16 ***
DESTIN_ID1509            1.8266656  0.2916439     6.263 3.77e-10 ***
DESTIN_ID1510            3.6755889  0.2887949    12.727  < 2e-16 ***
DESTIN_ID1512            4.3066512  0.2887403    14.915  < 2e-16 ***
DESTIN_ID1513            4.2976068  0.2889001    14.876  < 2e-16 ***
DESTIN_ID1514            3.7218663  0.2889771    12.879  < 2e-16 ***
DESTIN_ID1524            2.8617084  0.2895220     9.884  < 2e-16 ***
DESTIN_ID1525            3.6876200  0.2888104    12.768  < 2e-16 ***
DESTIN_ID1526            3.3526746  0.2888246    11.608  < 2e-16 ***
DESTIN_ID1527            3.2389974  0.2890170    11.207  < 2e-16 ***
DESTIN_ID1528            2.4919254  0.2890852     8.620  < 2e-16 ***
DESTIN_ID1529            2.4114400  0.2891743     8.339  < 2e-16 ***
DESTIN_ID1530            2.7714960  0.2890734     9.588  < 2e-16 ***
DESTIN_ID1531            3.8309385  0.2887843    13.266  < 2e-16 ***
DESTIN_ID1532            2.9812064  0.2891542    10.310  < 2e-16 ***
DESTIN_ID1544            3.5007363  0.2889049    12.117  < 2e-16 ***
DESTIN_ID1545            3.2668063  0.2888233    11.311  < 2e-16 ***
DESTIN_ID1546            3.6088447  0.2887879    12.497  < 2e-16 ***
DESTIN_ID1547            3.2061257  0.2888729    11.099  < 2e-16 ***
DESTIN_ID1548            3.8709898  0.2887953    13.404  < 2e-16 ***
DESTIN_ID1549            4.8075648  0.2887200    16.651  < 2e-16 ***
DESTIN_ID1550            4.2600161  0.2887329    14.754  < 2e-16 ***
DESTIN_ID1551            2.1312957  0.2893670     7.365 1.77e-13 ***
DESTIN_ID1552            4.1307887  0.2888160    14.302  < 2e-16 ***
DESTIN_ID156             2.9575025  0.3234352     9.144  < 2e-16 ***
DESTIN_ID1562           -0.1615938  0.3241508    -0.499 0.618122    
DESTIN_ID1563            3.7846268  0.2888060    13.104  < 2e-16 ***
DESTIN_ID1564            4.0397545  0.2887466    13.991  < 2e-16 ***
DESTIN_ID1565            3.2879148  0.2888350    11.383  < 2e-16 ***
DESTIN_ID1566            1.3857904  0.2911278     4.760 1.94e-06 ***
DESTIN_ID1567            3.7370048  0.2888131    12.939  < 2e-16 ***
DESTIN_ID1568            4.0167389  0.2887475    13.911  < 2e-16 ***
DESTIN_ID1569            3.4708790  0.2888140    12.018  < 2e-16 ***
DESTIN_ID1570            4.1017150  0.2887630    14.204  < 2e-16 ***
DESTIN_ID1571            4.3723796  0.2890575    15.126  < 2e-16 ***
DESTIN_ID158             1.3858935  0.3157963     4.389 1.14e-05 ***
DESTIN_ID1582            2.9336869  0.2890284    10.150  < 2e-16 ***
DESTIN_ID1583            4.6417090  0.2887127    16.077  < 2e-16 ***
DESTIN_ID1584            3.1028249  0.2888562    10.742  < 2e-16 ***
DESTIN_ID1585            2.2145294  0.2893896     7.652 1.97e-14 ***
DESTIN_ID1587            4.0652457  0.2887606    14.078  < 2e-16 ***
DESTIN_ID1588            5.1963249  0.2886995    17.999  < 2e-16 ***
DESTIN_ID1589            4.2604066  0.2887382    14.755  < 2e-16 ***
DESTIN_ID159             4.1569524  0.2891078    14.379  < 2e-16 ***
DESTIN_ID1590            3.6629311  0.2888182    12.682  < 2e-16 ***
DESTIN_ID1591            1.1056741  0.2949782     3.748 0.000178 ***
DESTIN_ID160             1.4676038  0.2983542     4.919 8.70e-07 ***
DESTIN_ID1600            1.2374390  0.3019056     4.099 4.15e-05 ***
DESTIN_ID1601            3.3838930  0.2888520    11.715  < 2e-16 ***
DESTIN_ID1602            3.4855597  0.2888166    12.068  < 2e-16 ***
DESTIN_ID1603            2.8558616  0.2890362     9.881  < 2e-16 ***
DESTIN_ID1604            4.2652693  0.2890511    14.756  < 2e-16 ***
DESTIN_ID1606            3.5733735  0.2888229    12.372  < 2e-16 ***
DESTIN_ID1607            3.1998738  0.2888653    11.077  < 2e-16 ***
DESTIN_ID1608            5.1801613  0.2887026    17.943  < 2e-16 ***
DESTIN_ID1609            3.8416032  0.2888149    13.301  < 2e-16 ***
DESTIN_ID1610            2.8265602  0.2900358     9.746  < 2e-16 ***
DESTIN_ID1620            4.5356315  0.2887458    15.708  < 2e-16 ***
DESTIN_ID1621            4.0755812  0.2887723    14.113  < 2e-16 ***
DESTIN_ID1622            3.3905987  0.2889681    11.733  < 2e-16 ***
DESTIN_ID1623            2.7036231  0.2890905     9.352  < 2e-16 ***
DESTIN_ID1624            0.5915894  0.3134641     1.887 0.059125 .  
DESTIN_ID1625            1.0921096  0.2937724     3.718 0.000201 ***
DESTIN_ID1626            3.8860729  0.2887945    13.456  < 2e-16 ***
DESTIN_ID1627            3.9347950  0.2887655    13.626  < 2e-16 ***
DESTIN_ID1628            4.0318397  0.2887714    13.962  < 2e-16 ***
DESTIN_ID1629            3.3996104  0.2890180    11.763  < 2e-16 ***
DESTIN_ID1630            2.9518832  0.2913200    10.133  < 2e-16 ***
DESTIN_ID1639            3.6065149  0.2888407    12.486  < 2e-16 ***
DESTIN_ID1640            4.5871569  0.2887176    15.888  < 2e-16 ***
DESTIN_ID1641            3.8978682  0.2887698    13.498  < 2e-16 ***
DESTIN_ID1645            3.6308204  0.2888662    12.569  < 2e-16 ***
DESTIN_ID1646            3.8175822  0.2887883    13.219  < 2e-16 ***
DESTIN_ID1647            5.2518908  0.2887034    18.191  < 2e-16 ***
DESTIN_ID1648            2.1374749  0.2909139     7.347 2.02e-13 ***
DESTIN_ID1658            5.1030046  0.2887177    17.675  < 2e-16 ***
DESTIN_ID1659            3.2830925  0.2888673    11.365  < 2e-16 ***
DESTIN_ID1660            3.2754134  0.2888450    11.340  < 2e-16 ***
DESTIN_ID1661            2.4550916  0.2892780     8.487  < 2e-16 ***
DESTIN_ID1663            0.5503782  0.3067369     1.794 0.072765 .  
DESTIN_ID1665            3.2282689  0.2889666    11.172  < 2e-16 ***
DESTIN_ID1666            4.8652128  0.2887160    16.851  < 2e-16 ***
DESTIN_ID1667            2.7301290  0.2897220     9.423  < 2e-16 ***
DESTIN_ID1668            4.3066104  0.2891736    14.893  < 2e-16 ***
DESTIN_ID1677            3.6537999  0.2888115    12.651  < 2e-16 ***
DESTIN_ID1678            3.9722503  0.2887777    13.755  < 2e-16 ***
DESTIN_ID1679            4.0190545  0.2887770    13.918  < 2e-16 ***
DESTIN_ID1682            1.2729525  0.2986927     4.262 2.03e-05 ***
DESTIN_ID1684            3.8090314  0.2893070    13.166  < 2e-16 ***
DESTIN_ID1685            3.8171578  0.2888352    13.216  < 2e-16 ***
DESTIN_ID1696            4.0496726  0.2888324    14.021  < 2e-16 ***
DESTIN_ID1697            2.0979477  0.2898986     7.237 4.59e-13 ***
DESTIN_ID1698            3.7455060  0.2895004    12.938  < 2e-16 ***
DESTIN_ID1699            3.7072907  0.2888162    12.836  < 2e-16 ***
DESTIN_ID1702            0.3873261  0.3202587     1.209 0.226503    
DESTIN_ID1704            4.0798950  0.2888100    14.127  < 2e-16 ***
DESTIN_ID1705            3.5190786  0.2894128    12.159  < 2e-16 ***
DESTIN_ID1715            3.5614642  0.2888521    12.330  < 2e-16 ***
DESTIN_ID1716            3.0238266  0.2889730    10.464  < 2e-16 ***
DESTIN_ID1717            2.6475138  0.2892365     9.153  < 2e-16 ***
DESTIN_ID1718           -0.0620606  0.3086091    -0.201 0.840622    
DESTIN_ID1721            0.7316904  0.3153795     2.320 0.020339 *  
DESTIN_ID1723            3.2212373  0.2892360    11.137  < 2e-16 ***
DESTIN_ID1734            1.9695861  0.2963076     6.647 2.99e-11 ***
DESTIN_ID1735            3.0969821  0.2889791    10.717  < 2e-16 ***
DESTIN_ID1736            4.2087926  0.2888392    14.571  < 2e-16 ***
DESTIN_ID1737            4.1686553  0.2887731    14.436  < 2e-16 ***
DESTIN_ID1740            1.3150616  0.2970053     4.428 9.52e-06 ***
DESTIN_ID1742            3.2057659  0.2892698    11.082  < 2e-16 ***
DESTIN_ID1753            3.4482843  0.2889033    11.936  < 2e-16 ***
DESTIN_ID1754            4.0054810  0.2887765    13.871  < 2e-16 ***
DESTIN_ID1755            4.1058010  0.2887981    14.217  < 2e-16 ***
DESTIN_ID1758            1.1539507  0.2980924     3.871 0.000108 ***
DESTIN_ID177             0.3489048  0.4174246     0.836 0.403239    
DESTIN_ID1772            1.0397431  0.3196913     3.252 0.001145 ** 
DESTIN_ID1773            3.2256173  0.2890030    11.161  < 2e-16 ***
DESTIN_ID1774            5.5904865  0.2886914    19.365  < 2e-16 ***
DESTIN_ID1775            3.1970699  0.2889797    11.063  < 2e-16 ***
DESTIN_ID1776            3.8607800  0.2888216    13.367  < 2e-16 ***
DESTIN_ID1778            1.3150319  0.3038808     4.327 1.51e-05 ***
DESTIN_ID178             1.1100970  0.2986911     3.717 0.000202 ***
DESTIN_ID179             0.9476288  0.3415651     2.774 0.005531 ** 
DESTIN_ID1791            3.3407264  0.2890090    11.559  < 2e-16 ***
DESTIN_ID1792            1.7474782  0.2897169     6.032 1.62e-09 ***
DESTIN_ID1793            3.7158093  0.2888244    12.865  < 2e-16 ***
DESTIN_ID1794            2.5454469  0.2896224     8.789  < 2e-16 ***
DESTIN_ID1795            3.9515495  0.2888152    13.682  < 2e-16 ***
DESTIN_ID1796            2.7630073  0.2891930     9.554  < 2e-16 ***
DESTIN_ID1797            3.2366096  0.2890063    11.199  < 2e-16 ***
DESTIN_ID1811            3.5027103  0.2888655    12.126  < 2e-16 ***
DESTIN_ID1812            4.0372648  0.2887539    13.982  < 2e-16 ***
DESTIN_ID1813            4.0692207  0.2887675    14.092  < 2e-16 ***
DESTIN_ID1814            4.4955466  0.2887574    15.569  < 2e-16 ***
DESTIN_ID1815            3.8443849  0.2888253    13.310  < 2e-16 ***
DESTIN_ID1816            4.3067267  0.2887962    14.913  < 2e-16 ***
DESTIN_ID1817            1.7619755  0.2913967     6.047 1.48e-09 ***
DESTIN_ID1830            3.9848366  0.2888813    13.794  < 2e-16 ***
DESTIN_ID1831            4.3318723  0.2887506    15.002  < 2e-16 ***
DESTIN_ID1832            3.9002766  0.2887743    13.506  < 2e-16 ***
DESTIN_ID1833            3.7703224  0.2888005    13.055  < 2e-16 ***
DESTIN_ID1834            2.7729691  0.2892446     9.587  < 2e-16 ***
DESTIN_ID1835            4.2841855  0.2887776    14.836  < 2e-16 ***
DESTIN_ID1849            3.2562391  0.2890026    11.267  < 2e-16 ***
DESTIN_ID1850            3.9325108  0.2887851    13.617  < 2e-16 ***
DESTIN_ID1851            1.3862269  0.2925700     4.738 2.16e-06 ***
DESTIN_ID1852            4.6234703  0.2887171    16.014  < 2e-16 ***
DESTIN_ID1853            3.5483090  0.2888521    12.284  < 2e-16 ***
DESTIN_ID1854            3.6738919  0.2888347    12.720  < 2e-16 ***
DESTIN_ID1855            1.6794943  0.2911344     5.769 7.98e-09 ***
DESTIN_ID1868            3.8569823  0.2888342    13.354  < 2e-16 ***
DESTIN_ID1869            3.1053495  0.2889653    10.746  < 2e-16 ***
DESTIN_ID1870            1.4002883  0.2922567     4.791 1.66e-06 ***
DESTIN_ID1871            5.8082714  0.2886893    20.119  < 2e-16 ***
DESTIN_ID1872            3.7101850  0.2889597    12.840  < 2e-16 ***
DESTIN_ID1873            3.8410777  0.2888546    13.298  < 2e-16 ***
DESTIN_ID1887            3.1639329  0.2890620    10.946  < 2e-16 ***
DESTIN_ID1888            4.5810225  0.2887411    15.866  < 2e-16 ***
DESTIN_ID1889            3.4011701  0.2888751    11.774  < 2e-16 ***
DESTIN_ID1890            3.7518091  0.2887827    12.992  < 2e-16 ***
DESTIN_ID1891            3.1172500  0.2890039    10.786  < 2e-16 ***
DESTIN_ID1892            5.4244414  0.2887013    18.789  < 2e-16 ***
DESTIN_ID1893            2.3976144  0.2919648     8.212  < 2e-16 ***
DESTIN_ID1905            3.0851537  0.2993077    10.308  < 2e-16 ***
DESTIN_ID1906            1.7682058  0.2902137     6.093 1.11e-09 ***
DESTIN_ID1907            2.8903320  0.2890423    10.000  < 2e-16 ***
DESTIN_ID1908            4.3842520  0.2887700    15.183  < 2e-16 ***
DESTIN_ID1909            3.6546638  0.2888024    12.655  < 2e-16 ***
DESTIN_ID1910            2.8912474  0.2891242    10.000  < 2e-16 ***
DESTIN_ID1911            0.9112340  0.2970065     3.068 0.002155 ** 
DESTIN_ID1926            3.1354193  0.2893312    10.837  < 2e-16 ***
DESTIN_ID1927            2.6592536  0.2896182     9.182  < 2e-16 ***
DESTIN_ID1928            4.1706828  0.2887480    14.444  < 2e-16 ***
DESTIN_ID1929            4.2184779  0.2888060    14.607  < 2e-16 ***
DESTIN_ID1930            4.0624058  0.2887929    14.067  < 2e-16 ***
DESTIN_ID1944            3.5094244  0.2892840    12.131  < 2e-16 ***
DESTIN_ID1945            1.5124181  0.2911725     5.194 2.06e-07 ***
DESTIN_ID1946            4.0434753  0.2888049    14.001  < 2e-16 ***
DESTIN_ID1947            4.6696358  0.2887222    16.173  < 2e-16 ***
DESTIN_ID1948            4.3973053  0.2887608    15.228  < 2e-16 ***
DESTIN_ID1949            3.7752012  0.2889215    13.067  < 2e-16 ***
DESTIN_ID195             2.3525214  0.3333344     7.058 1.69e-12 ***
DESTIN_ID196             3.8089724  0.2893153    13.165  < 2e-16 ***
DESTIN_ID1965            3.6496576  0.2888698    12.634  < 2e-16 ***
DESTIN_ID1966            2.9254990  0.2891102    10.119  < 2e-16 ***
DESTIN_ID1967            3.2983008  0.2888748    11.418  < 2e-16 ***
DESTIN_ID1968            3.8108064  0.2888687    13.192  < 2e-16 ***
DESTIN_ID197             2.0965670  0.2935970     7.141 9.27e-13 ***
DESTIN_ID1983            3.3952933  0.2892963    11.736  < 2e-16 ***
DESTIN_ID1984            2.5395566  0.2896486     8.768  < 2e-16 ***
DESTIN_ID1985            3.1574458  0.2890130    10.925  < 2e-16 ***
DESTIN_ID1986            3.9398527  0.2888096    13.642  < 2e-16 ***
DESTIN_ID1987            2.9467330  0.2923316    10.080  < 2e-16 ***
DESTIN_ID2002            2.7521422  0.2951166     9.326  < 2e-16 ***
DESTIN_ID2003            0.9408001  0.2953392     3.185 0.001445 ** 
DESTIN_ID2004            1.9720806  0.2929430     6.732 1.67e-11 ***
DESTIN_ID2005            3.4626409  0.2889769    11.982  < 2e-16 ***
DESTIN_ID2006            2.2615127  0.2896883     7.807 5.87e-15 ***
DESTIN_ID2021            2.1054242  0.2935023     7.173 7.31e-13 ***
DESTIN_ID2022            3.6466756  0.2899769    12.576  < 2e-16 ***
DESTIN_ID2023            2.8267660  0.2899051     9.751  < 2e-16 ***
DESTIN_ID2024            1.6172540  0.2910598     5.556 2.75e-08 ***
DESTIN_ID2025           -0.2027042  0.3371011    -0.601 0.547630    
DESTIN_ID2042            0.7246526  0.3095709     2.341 0.019241 *  
DESTIN_ID2043            2.2024774  0.2913746     7.559 4.06e-14 ***
DESTIN_ID2044            1.7274791  0.2911690     5.933 2.98e-09 ***
DESTIN_ID2045            1.7947632  0.2976069     6.031 1.63e-09 ***
DESTIN_ID2061            1.8930651  0.2980416     6.352 2.13e-10 ***
DESTIN_ID2062            2.0596764  0.2923309     7.046 1.85e-12 ***
DESTIN_ID2063            1.8570306  0.2909291     6.383 1.74e-10 ***
DESTIN_ID2064            1.8202929  0.2976530     6.115 9.63e-10 ***
DESTIN_ID2079            3.0462792  0.2901111    10.500  < 2e-16 ***
DESTIN_ID2082            1.7577550  0.2959253     5.940 2.85e-09 ***
DESTIN_ID2083            2.0714701  0.2906078     7.128 1.02e-12 ***
DESTIN_ID2098            4.1641908  0.2890548    14.406  < 2e-16 ***
DESTIN_ID2099            5.4458617  0.2887727    18.859  < 2e-16 ***
DESTIN_ID2102            4.5482197  0.2888745    15.745  < 2e-16 ***
DESTIN_ID2115            5.1804065  0.2893386    17.904  < 2e-16 ***
DESTIN_ID2119            5.8275751  0.2887492    20.182  < 2e-16 ***
DESTIN_ID2121            3.7163153  0.2891055    12.855  < 2e-16 ***
DESTIN_ID2137            3.7062473  0.2892593    12.813  < 2e-16 ***
DESTIN_ID2140            2.9670206  0.2900881    10.228  < 2e-16 ***
DESTIN_ID215            -0.0470898  0.3651494    -0.129 0.897389    
DESTIN_ID2153            2.9831708  0.2946912    10.123  < 2e-16 ***
DESTIN_ID2158            3.4349058  0.2897635    11.854  < 2e-16 ***
DESTIN_ID216             1.1905488  0.3124418     3.810 0.000139 ***
DESTIN_ID217             3.7025884  0.2949066    12.555  < 2e-16 ***
DESTIN_ID2177            3.2437771  0.2897407    11.195  < 2e-16 ***
DESTIN_ID2178            1.1950167  0.3010534     3.969 7.20e-05 ***
DESTIN_ID2196            3.1225167  0.2956050    10.563  < 2e-16 ***
DESTIN_ID2197            2.9412793  0.2906335    10.120  < 2e-16 ***
DESTIN_ID2267            2.2333075  0.3202582     6.973 3.09e-12 ***
DESTIN_ID233             2.8018137  0.2962075     9.459  < 2e-16 ***
DESTIN_ID234             0.9305785  0.3071204     3.030 0.002445 ** 
DESTIN_ID235             1.3386403  0.3055062     4.382 1.18e-05 ***
DESTIN_ID252             2.4448308  0.2947747     8.294  < 2e-16 ***
DESTIN_ID253             1.4873328  0.2984640     4.983 6.25e-07 ***
DESTIN_ID254             2.2747753  0.2951884     7.706 1.30e-14 ***
DESTIN_ID271             1.3622852  0.3134635     4.346 1.39e-05 ***
DESTIN_ID272             3.0285080  0.2905940    10.422  < 2e-16 ***
DESTIN_ID290             2.1487296  0.3055057     7.033 2.02e-12 ***
DESTIN_ID291             1.2378038  0.3248938     3.810 0.000139 ***
DESTIN_ID292             2.9653717  0.2970864     9.982  < 2e-16 ***
DESTIN_ID308             3.9699652  0.2927807    13.560  < 2e-16 ***
DESTIN_ID309             1.7525227  0.3015120     5.812 6.16e-09 ***
DESTIN_ID310             2.5730182  0.2949074     8.725  < 2e-16 ***
DESTIN_ID329             2.8288664  0.2981429     9.488  < 2e-16 ***
DESTIN_ID330             2.0520054  0.2973385     6.901 5.15e-12 ***
DESTIN_ID347             1.9246813  0.2941398     6.543 6.01e-11 ***
DESTIN_ID348             2.2374921  0.2953653     7.575 3.58e-14 ***
DESTIN_ID349             0.4969659  0.3450338     1.440 0.149771    
DESTIN_ID366             2.4175880  0.3000006     8.059 7.72e-16 ***
DESTIN_ID367             1.7361121  0.3053438     5.686 1.30e-08 ***
DESTIN_ID368             4.8101196  0.2887711    16.657  < 2e-16 ***
DESTIN_ID369             3.6814518  0.2899369    12.697  < 2e-16 ***
DESTIN_ID370             4.7870657  0.2889806    16.565  < 2e-16 ***
DESTIN_ID385             0.8697577  0.3264808     2.664 0.007721 ** 
DESTIN_ID386             0.9440811  0.3053440     3.092 0.001989 ** 
DESTIN_ID387             2.0905098  0.2906318     7.193 6.34e-13 ***
DESTIN_ID388             2.6400671  0.2905308     9.087  < 2e-16 ***
DESTIN_ID389             3.8722361  0.2906354    13.323  < 2e-16 ***
DESTIN_ID40              2.0898958  0.3511890     5.951 2.67e-09 ***
DESTIN_ID404             1.7314930  0.3134638     5.524 3.32e-08 ***
DESTIN_ID405             0.7615510  0.3181052     2.394 0.016665 *  
DESTIN_ID406             0.3147983  0.3088406     1.019 0.308065    
DESTIN_ID407             3.5943254  0.2890755    12.434  < 2e-16 ***
DESTIN_ID408             3.3555817  0.2894757    11.592  < 2e-16 ***
DESTIN_ID42              2.8575127  0.2978908     9.592  < 2e-16 ***
DESTIN_ID424             1.7440090  0.2962083     5.888 3.91e-09 ***
DESTIN_ID425             1.5060263  0.2914936     5.167 2.38e-07 ***
DESTIN_ID426             4.3916677  0.2888042    15.206  < 2e-16 ***
DESTIN_ID427             3.6948448  0.2897210    12.753  < 2e-16 ***
DESTIN_ID442             1.5624466  0.3109136     5.025 5.03e-07 ***
DESTIN_ID443            -0.5366293  0.4174246    -1.286 0.198593    
DESTIN_ID444             2.6891633  0.2903093     9.263  < 2e-16 ***
DESTIN_ID445             2.9978077  0.2891943    10.366  < 2e-16 ***
DESTIN_ID447            -0.5226259  0.4003213    -1.306 0.191717    
DESTIN_ID448             3.1635161  0.2916992    10.845  < 2e-16 ***
DESTIN_ID461             1.6091755  0.2995727     5.372 7.81e-08 ***
DESTIN_ID462             1.5893110  0.2975156     5.342 9.20e-08 ***
DESTIN_ID463             2.3638688  0.2895187     8.165 3.22e-16 ***
DESTIN_ID464             4.5279220  0.2887613    15.681  < 2e-16 ***
DESTIN_ID465             1.8522524  0.2941405     6.297 3.03e-10 ***
DESTIN_ID466             1.6520825  0.3022153     5.467 4.59e-08 ***
DESTIN_ID467             1.4083602  0.3153776     4.466 7.98e-06 ***
DESTIN_ID480             1.5916715  0.3149707     5.053 4.34e-07 ***
DESTIN_ID481             2.4848623  0.2924332     8.497  < 2e-16 ***
DESTIN_ID482             1.5371735  0.2922629     5.260 1.44e-07 ***
DESTIN_ID483             5.0479486  0.2887233    17.484  < 2e-16 ***
DESTIN_ID484             4.6553412  0.2887704    16.121  < 2e-16 ***
DESTIN_ID486             2.6038904  0.2917637     8.925  < 2e-16 ***
DESTIN_ID487             1.1181427  0.3345236     3.342 0.000830 ***
DESTIN_ID488             0.7920870  0.4003230     1.979 0.047859 *  
DESTIN_ID489             0.6734273  0.5322927     1.265 0.205819    
DESTIN_ID499             0.5191099  0.3333340     1.557 0.119393    
DESTIN_ID500             1.7003360  0.3186184     5.337 9.47e-08 ***
DESTIN_ID501             1.4913910  0.2909475     5.126 2.96e-07 ***
DESTIN_ID502             4.1229921  0.2887855    14.277  < 2e-16 ***
DESTIN_ID503             3.4122470  0.2894248    11.790  < 2e-16 ***
DESTIN_ID507             2.7093111  0.3027680     8.948  < 2e-16 ***
DESTIN_ID508             0.6140460  0.4082508     1.504 0.132558    
DESTIN_ID509             0.7196617  0.4174262     1.724 0.084700 .  
DESTIN_ID518             0.8971467  0.4409618     2.035 0.041899 *  
DESTIN_ID519             2.6794596  0.2948190     9.088  < 2e-16 ***
DESTIN_ID520             2.2088958  0.2958068     7.467 8.18e-14 ***
DESTIN_ID521             6.0863191  0.2886890    21.083  < 2e-16 ***
DESTIN_ID522             3.8341714  0.2888446    13.274  < 2e-16 ***
DESTIN_ID524             0.3279860  0.3450349     0.951 0.341814    
DESTIN_ID528             1.2769988  0.3264819     3.911 9.18e-05 ***
DESTIN_ID529             1.6800605  0.3060119     5.490 4.02e-08 ***
DESTIN_ID530             2.3988729  0.3042919     7.883 3.18e-15 ***
DESTIN_ID537             0.2457920  0.3399891     0.723 0.469716    
DESTIN_ID538             1.5558961  0.2971265     5.236 1.64e-07 ***
DESTIN_ID539             1.2241113  0.2923312     4.187 2.82e-05 ***
DESTIN_ID540             3.8553890  0.2887943    13.350  < 2e-16 ***
DESTIN_ID541            -0.0484704  0.3127749    -0.155 0.876846    
DESTIN_ID547             0.4195707  0.3618741     1.159 0.246278    
DESTIN_ID548             1.3436916  0.3241499     4.145 3.39e-05 ***
DESTIN_ID557             0.5305647  0.3045783     1.742 0.081515 .  
DESTIN_ID558             1.7538500  0.2924425     5.997 2.01e-09 ***
DESTIN_ID559             1.4906109  0.2904501     5.132 2.87e-07 ***
DESTIN_ID560             4.3017917  0.2887690    14.897  < 2e-16 ***
DESTIN_ID562             1.4924060  0.2981960     5.005 5.59e-07 ***
DESTIN_ID577             0.7136218  0.2970464     2.402 0.016288 *  
DESTIN_ID578             4.1248326  0.2887656    14.284  < 2e-16 ***
DESTIN_ID595             1.1763802  0.2942642     3.998 6.40e-05 ***
DESTIN_ID596             2.8161590  0.2891571     9.739  < 2e-16 ***
DESTIN_ID597             3.6334224  0.2888597    12.579  < 2e-16 ***
DESTIN_ID598             4.7715760  0.2887264    16.526  < 2e-16 ***
DESTIN_ID60              0.9411736  0.4082486     2.305 0.021145 *  
DESTIN_ID600             4.6701571  0.2889609    16.162  < 2e-16 ***
DESTIN_ID61              2.4770746  0.2950674     8.395  < 2e-16 ***
DESTIN_ID613             1.5702825  0.2975613     5.277 1.31e-07 ***
DESTIN_ID614             0.4503422  0.3004644     1.499 0.133920    
DESTIN_ID615             4.3403165  0.2887700    15.030  < 2e-16 ***
DESTIN_ID616             5.1064640  0.2887126    17.687  < 2e-16 ***
DESTIN_ID617             3.1208308  0.2892857    10.788  < 2e-16 ***
DESTIN_ID62              3.2611545  0.2941224    11.088  < 2e-16 ***
DESTIN_ID633             1.8091592  0.2917259     6.202 5.59e-10 ***
DESTIN_ID634             3.9575727  0.2888455    13.701  < 2e-16 ***
DESTIN_ID635             2.8217757  0.2891714     9.758  < 2e-16 ***
DESTIN_ID636             4.5212402  0.2887409    15.658  < 2e-16 ***
DESTIN_ID638             1.7203562  0.2943751     5.844 5.09e-09 ***
DESTIN_ID654             2.4283493  0.2894952     8.388  < 2e-16 ***
DESTIN_ID657             1.5855672  0.2933588     5.405 6.49e-08 ***
DESTIN_ID662             2.2949275  0.3115005     7.367 1.74e-13 ***
DESTIN_ID671             3.0617124  0.2896142    10.572  < 2e-16 ***
DESTIN_ID673             1.9572832  0.2896141     6.758 1.40e-11 ***
DESTIN_ID674             3.9345001  0.2887923    13.624  < 2e-16 ***
DESTIN_ID682             2.7890955  0.2946486     9.466  < 2e-16 ***
DESTIN_ID689             1.7016215  0.2948630     5.771 7.89e-09 ***
DESTIN_ID690             3.2969068  0.2891740    11.401  < 2e-16 ***
DESTIN_ID691             1.8801259  0.2898070     6.488 8.73e-11 ***
DESTIN_ID692             4.6117593  0.2887275    15.973  < 2e-16 ***
DESTIN_ID693             2.5176158  0.2897022     8.690  < 2e-16 ***
DESTIN_ID695             4.5216274  0.2888040    15.656  < 2e-16 ***
DESTIN_ID700             3.2469687  0.2908846    11.162  < 2e-16 ***
DESTIN_ID710             1.2188950  0.2917592     4.178 2.94e-05 ***
DESTIN_ID711             3.7017322  0.2887987    12.818  < 2e-16 ***
DESTIN_ID712             2.9925325  0.2889441    10.357  < 2e-16 ***
DESTIN_ID713             3.1613349  0.2892903    10.928  < 2e-16 ***
DESTIN_ID714             3.7554805  0.2889328    12.998  < 2e-16 ***
DESTIN_ID715             2.5826600  0.2896593     8.916  < 2e-16 ***
DESTIN_ID727             0.1202410  0.3157967     0.381 0.703385    
DESTIN_ID728             4.3484896  0.2888102    15.057  < 2e-16 ***
DESTIN_ID729             5.1928728  0.2887038    17.987  < 2e-16 ***
DESTIN_ID730             3.5357360  0.2888146    12.242  < 2e-16 ***
DESTIN_ID731             4.3369474  0.2887976    15.017  < 2e-16 ***
DESTIN_ID732             2.1261534  0.2906364     7.316 2.56e-13 ***
DESTIN_ID733             4.3852435  0.2887558    15.187  < 2e-16 ***
DESTIN_ID734             3.7853973  0.2889175    13.102  < 2e-16 ***
DESTIN_ID738             3.2251621  0.2904891    11.103  < 2e-16 ***
DESTIN_ID746             1.4688736  0.2966967     4.951 7.39e-07 ***
DESTIN_ID748             1.9620445  0.2895443     6.776 1.23e-11 ***
DESTIN_ID749             3.9598680  0.2887868    13.712  < 2e-16 ***
DESTIN_ID750             4.0758191  0.2887642    14.115  < 2e-16 ***
DESTIN_ID751             3.8985078  0.2888492    13.497  < 2e-16 ***
DESTIN_ID752             3.5345730  0.2889516    12.232  < 2e-16 ***
DESTIN_ID753             5.6085835  0.2886988    19.427  < 2e-16 ***
DESTIN_ID754             5.3356154  0.2887430    18.479  < 2e-16 ***
DESTIN_ID757             0.8914595  0.3157962     2.823 0.004759 ** 
DESTIN_ID764             0.2092416  0.3535554     0.592 0.553970    
DESTIN_ID766             3.6793574  0.2888683    12.737  < 2e-16 ***
DESTIN_ID767             4.3933755  0.2887628    15.214  < 2e-16 ***
DESTIN_ID768             3.5059520  0.2888345    12.138  < 2e-16 ***
DESTIN_ID769             2.8578846  0.2890271     9.888  < 2e-16 ***
DESTIN_ID770             3.9380306  0.2888087    13.635  < 2e-16 ***
DESTIN_ID771             3.9233317  0.2887877    13.586  < 2e-16 ***
DESTIN_ID772             3.5330176  0.2889175    12.228  < 2e-16 ***
DESTIN_ID773             5.2613003  0.2887673    18.220  < 2e-16 ***
DESTIN_ID774             1.2683904  0.3034894     4.179 2.92e-05 ***
DESTIN_ID775             0.4907178  0.3106307     1.580 0.114165    
DESTIN_ID776             2.4045714  0.2925854     8.218  < 2e-16 ***
DESTIN_ID78              2.6482502  0.3227493     8.205 2.30e-16 ***
DESTIN_ID784             2.2684739  0.2919511     7.770 7.85e-15 ***
DESTIN_ID785             2.5346501  0.2896487     8.751  < 2e-16 ***
DESTIN_ID786             3.1571918  0.2891615    10.918  < 2e-16 ***
DESTIN_ID787             3.7209857  0.2891070    12.871  < 2e-16 ***
DESTIN_ID788             5.1470833  0.2887048    17.828  < 2e-16 ***
DESTIN_ID789             4.9890870  0.2887677    17.277  < 2e-16 ***
DESTIN_ID79              0.0581337  0.7637629     0.076 0.939328    
DESTIN_ID790             1.9056150  0.2897198     6.577 4.79e-11 ***
DESTIN_ID791             3.3149593  0.2890601    11.468  < 2e-16 ***
DESTIN_ID792             2.5183641  0.2893735     8.703  < 2e-16 ***
DESTIN_ID793             0.5945855  0.3357761     1.771 0.076597 .  
DESTIN_ID794             0.9625611  0.3031189     3.176 0.001496 ** 
DESTIN_ID795             3.0816427  0.2907036    10.601  < 2e-16 ***
DESTIN_ID80              3.1551357  0.2915573    10.822  < 2e-16 ***
DESTIN_ID803             2.7452868  0.2894349     9.485  < 2e-16 ***
DESTIN_ID804             3.1078152  0.2890817    10.751  < 2e-16 ***
DESTIN_ID805             1.1120333  0.2953394     3.765 0.000166 ***
DESTIN_ID806             4.1627870  0.2887670    14.416  < 2e-16 ***
DESTIN_ID807             3.2985982  0.2893333    11.401  < 2e-16 ***
DESTIN_ID809             4.1563571  0.2887632    14.394  < 2e-16 ***
DESTIN_ID81              3.6670929  0.3036178    12.078  < 2e-16 ***
DESTIN_ID810             1.8943525  0.2899225     6.534 6.40e-11 ***
DESTIN_ID811             2.3615555  0.2904177     8.132 4.24e-16 ***
DESTIN_ID812             1.4636698  0.2949530     4.962 6.96e-07 ***
DESTIN_ID813             2.8248982  0.2898660     9.746  < 2e-16 ***
DESTIN_ID814             1.7566506  0.2960787     5.933 2.97e-09 ***
DESTIN_ID82              1.2245934  0.5000004     2.449 0.014318 *  
DESTIN_ID822             2.9694145  0.2904193    10.225  < 2e-16 ***
DESTIN_ID823             3.4365205  0.2888787    11.896  < 2e-16 ***
DESTIN_ID824             0.7896217  0.2934619     2.691 0.007130 ** 
DESTIN_ID825             3.2060677  0.2890272    11.093  < 2e-16 ***
DESTIN_ID826             3.9241699  0.2887983    13.588  < 2e-16 ***
DESTIN_ID829             3.8825288  0.2888037    13.443  < 2e-16 ***
DESTIN_ID831             3.8566914  0.2890154    13.344  < 2e-16 ***
DESTIN_ID832             1.8134408  0.2944311     6.159 7.31e-10 ***
DESTIN_ID833             2.6312798  0.2900377     9.072  < 2e-16 ***
DESTIN_ID840             3.1736040  0.2893101    10.970  < 2e-16 ***
DESTIN_ID841             3.8154756  0.2888133    13.211  < 2e-16 ***
DESTIN_ID842             4.6439116  0.2887248    16.084  < 2e-16 ***
DESTIN_ID843             1.1978901  0.2924670     4.096 4.21e-05 ***
DESTIN_ID844             1.7622500  0.2914013     6.048 1.47e-09 ***
DESTIN_ID845             3.5361341  0.2889559    12.238  < 2e-16 ***
DESTIN_ID846             0.9485674  0.2927629     3.240 0.001195 ** 
DESTIN_ID847             5.6013739  0.2886961    19.402  < 2e-16 ***
DESTIN_ID850            -0.9531744  0.7637628    -1.248 0.212032    
DESTIN_ID851             5.3974854  0.2887389    18.693  < 2e-16 ***
DESTIN_ID852             1.8796272  0.2934745     6.405 1.51e-10 ***
DESTIN_ID859             2.9972882  0.2892756    10.361  < 2e-16 ***
DESTIN_ID860             4.8020666  0.2887633    16.630  < 2e-16 ***
DESTIN_ID861             5.4906916  0.2886973    19.019  < 2e-16 ***
DESTIN_ID862             1.8457018  0.2922197     6.316 2.68e-10 ***
DESTIN_ID863             3.1473912  0.2892568    10.881  < 2e-16 ***
DESTIN_ID864             1.6823651  0.2902764     5.796 6.80e-09 ***
DESTIN_ID865             4.4252922  0.2887738    15.324  < 2e-16 ***
DESTIN_ID866             2.3258762  0.2893840     8.037 9.18e-16 ***
DESTIN_ID867             4.2559217  0.2888196    14.736  < 2e-16 ***
DESTIN_ID869             1.6897542  0.3021093     5.593 2.23e-08 ***
DESTIN_ID871             1.7194814  0.2925691     5.877 4.17e-09 ***
DESTIN_ID872             5.7293393  0.2887463    19.842  < 2e-16 ***
DESTIN_ID878             3.4409589  0.2889222    11.910  < 2e-16 ***
DESTIN_ID879             4.0959631  0.2887542    14.185  < 2e-16 ***
DESTIN_ID880             3.9921751  0.2887970    13.823  < 2e-16 ***
DESTIN_ID882             3.4078198  0.2890216    11.791  < 2e-16 ***
DESTIN_ID883             2.6376927  0.2893590     9.116  < 2e-16 ***
DESTIN_ID884             2.4240144  0.2895205     8.373  < 2e-16 ***
DESTIN_ID885             4.0716600  0.2887779    14.100  < 2e-16 ***
DESTIN_ID886             3.8494014  0.2889537    13.322  < 2e-16 ***
DESTIN_ID890             1.7917350  0.2904373     6.169 6.87e-10 ***
DESTIN_ID891             1.7582622  0.3818821     4.604 4.14e-06 ***
DESTIN_ID897             3.3933752  0.2890082    11.741  < 2e-16 ***
DESTIN_ID898             3.5143216  0.2888956    12.165  < 2e-16 ***
DESTIN_ID899             2.7937563  0.2890656     9.665  < 2e-16 ***
DESTIN_ID900             2.5952538  0.2892809     8.971  < 2e-16 ***
DESTIN_ID901             3.6875076  0.2888753    12.765  < 2e-16 ***
DESTIN_ID902             3.0323927  0.2891906    10.486  < 2e-16 ***
DESTIN_ID903             2.4157117  0.2913130     8.292  < 2e-16 ***
DESTIN_ID904             4.5842604  0.2887644    15.875  < 2e-16 ***
DESTIN_ID905             3.9690434  0.2888918    13.739  < 2e-16 ***
DESTIN_ID907             2.1447895  0.2932951     7.313 2.62e-13 ***
DESTIN_ID909             4.9535039  0.2887404    17.156  < 2e-16 ***
DESTIN_ID910             5.2869879  0.2887270    18.311  < 2e-16 ***
DESTIN_ID915             1.8647298  0.2927624     6.369 1.90e-10 ***
DESTIN_ID916             3.4202105  0.2892890    11.823  < 2e-16 ***
DESTIN_ID917             2.5596248  0.2893894     8.845  < 2e-16 ***
DESTIN_ID918             2.5256641  0.2893137     8.730  < 2e-16 ***
DESTIN_ID919             1.8377320  0.2902272     6.332 2.42e-10 ***
DESTIN_ID920             4.8341597  0.2887423    16.742  < 2e-16 ***
DESTIN_ID922             3.0813131  0.2895140    10.643  < 2e-16 ***
DESTIN_ID923             4.3967941  0.2887918    15.225  < 2e-16 ***
DESTIN_ID927             3.2978726  0.2892160    11.403  < 2e-16 ***
DESTIN_ID928             4.1427622  0.2888229    14.344  < 2e-16 ***
DESTIN_ID929             1.9620724  0.2912318     6.737 1.62e-11 ***
DESTIN_ID935             2.8386815  0.2892945     9.812  < 2e-16 ***
DESTIN_ID936             3.4159463  0.2889203    11.823  < 2e-16 ***
DESTIN_ID937             3.7901764  0.2888365    13.122  < 2e-16 ***
DESTIN_ID938             2.9520766  0.2890907    10.212  < 2e-16 ***
DESTIN_ID939             3.7950274  0.2888256    13.140  < 2e-16 ***
DESTIN_ID945             3.9274709  0.2893754    13.572  < 2e-16 ***
DESTIN_ID947             4.2427208  0.2887770    14.692  < 2e-16 ***
DESTIN_ID948             4.3410034  0.2888310    15.030  < 2e-16 ***
DESTIN_ID953             4.0611325  0.2888353    14.060  < 2e-16 ***
DESTIN_ID954             2.9415116  0.2890652    10.176  < 2e-16 ***
DESTIN_ID955             3.8636344  0.2888336    13.377  < 2e-16 ***
DESTIN_ID956             2.9755367  0.2891105    10.292  < 2e-16 ***
DESTIN_ID964             0.8596746  0.3282139     2.619 0.008812 ** 
DESTIN_ID966             4.7937719  0.2887476    16.602  < 2e-16 ***
DESTIN_ID967             4.6943805  0.2888509    16.252  < 2e-16 ***
DESTIN_ID972             3.2423998  0.2890657    11.217  < 2e-16 ***
DESTIN_ID973             1.8254479  0.2902716     6.289 3.20e-10 ***
DESTIN_ID974             2.2714295  0.2892721     7.852 4.09e-15 ***
DESTIN_ID975             2.7227464  0.2891820     9.415  < 2e-16 ***
DESTIN_ID977             4.0025266  0.2888285    13.858  < 2e-16 ***
DESTIN_ID983             0.9928909  0.3687356     2.693 0.007088 ** 
DESTIN_ID985             3.8413711  0.2888822    13.297  < 2e-16 ***
DESTIN_ID986             2.2841425  0.2898096     7.882 3.23e-15 ***
DESTIN_ID99              0.9116137  0.3872986     2.354 0.018584 *  
DESTIN_ID990             1.0691271  0.2949534     3.625 0.000289 ***
DESTIN_ID991             1.7623288  0.2933455     6.008 1.88e-09 ***
DESTIN_ID992             1.2140866  0.2954173     4.110 3.96e-05 ***
DESTIN_ID993             4.3647517  0.2887443    15.116  < 2e-16 ***
DESTIN_ID994             1.9641337  0.2904980     6.761 1.37e-11 ***
DESTIN_ID995             3.4671156  0.2889292    12.000  < 2e-16 ***
log(dists)              -1.4918133  0.0004486 -3325.582  < 2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for poisson family taken to be 1)

    Null deviance: 29522779  on 62704  degrees of freedom
Residual deviance:  8797912  on 61876  degrees of freedom
AIC: 9096670

Number of Fisher Scoring iterations: 7

It can be seen that most p-value for each factor is much lower than 0.05, showing that most of them are statistically significant.

Let’s calculated the R-Squared value.

CalcRSquared(decSIM$data$TOTAL_TRIP, decSIM$fitted.values)
[1] 0.4795972

The R-Squared value indicates that the model can account for roughly 47.96% of the variation in the number of trips between each pair of origin-destination.

Doubly Constrained Model

The Doubly Constrained Model will remove all parameter from both the destination and origin, considering only the flows. This model recreates the interaction but do not provide any information on the propulsiveness and attractiveness of different factors (Farmer & Oshan, 2017).

dbcSIM <- glm(TOTAL_TRIP ~
                ORIG_ID+
                DESTIN_ID+
                log(dists),
              family = poisson(link = 'log'),
              data = final_df,
              na.action = na.exclude)
summary(dbcSIM)

Call:
glm(formula = TOTAL_TRIP ~ ORIG_ID + DESTIN_ID + log(dists), 
    family = poisson(link = "log"), data = final_df, na.action = na.exclude)

Coefficients:
                Estimate Std. Error   z value Pr(>|z|)    
(Intercept)   10.4310925  0.2978416    35.022  < 2e-16 ***
ORIG_ID1001    2.7754328  0.0758391    36.596  < 2e-16 ***
ORIG_ID1002   -1.7220653  0.1468629   -11.726  < 2e-16 ***
ORIG_ID1003   -0.1050412  0.0828673    -1.268 0.204947    
ORIG_ID1004    3.8688791  0.0733498    52.746  < 2e-16 ***
ORIG_ID1005    1.0588770  0.0752656    14.069  < 2e-16 ***
ORIG_ID101     4.6768380  0.0743947    62.865  < 2e-16 ***
ORIG_ID1010    0.6964370  0.0755526     9.218  < 2e-16 ***
ORIG_ID1011    0.3053156  0.0773245     3.948 7.86e-05 ***
ORIG_ID1012   -0.3035267  0.0813000    -3.733 0.000189 ***
ORIG_ID1013    1.2450565  0.0743601    16.744  < 2e-16 ***
ORIG_ID1014    0.7526468  0.0763005     9.864  < 2e-16 ***
ORIG_ID102    -2.3116921  0.1872970   -12.342  < 2e-16 ***
ORIG_ID1023    1.8718268  0.0738116    25.360  < 2e-16 ***
ORIG_ID1024    1.9509861  0.0736738    26.481  < 2e-16 ***
ORIG_ID1025    2.3582143  0.0742603    31.756  < 2e-16 ***
ORIG_ID1028    0.4533870  0.0763183     5.941 2.84e-09 ***
ORIG_ID1030   -0.3575707  0.0835015    -4.282 1.85e-05 ***
ORIG_ID1031    1.8658225  0.0736868    25.321  < 2e-16 ***
ORIG_ID1033    1.5431184  0.0740896    20.828  < 2e-16 ***
ORIG_ID1040   -0.2626777  0.0959345    -2.738 0.006180 ** 
ORIG_ID1041    0.7284557  0.0763897     9.536  < 2e-16 ***
ORIG_ID1042    2.0186672  0.0736033    27.426  < 2e-16 ***
ORIG_ID1043    1.3939281  0.0743778    18.741  < 2e-16 ***
ORIG_ID1048    0.4586953  0.0756790     6.061 1.35e-09 ***
ORIG_ID1049    1.4320041  0.0739063    19.376  < 2e-16 ***
ORIG_ID1050    2.3320868  0.0735051    31.727  < 2e-16 ***
ORIG_ID1061    2.5485337  0.0736728    34.593  < 2e-16 ***
ORIG_ID1062    2.7309578  0.0735536    37.129  < 2e-16 ***
ORIG_ID1063    0.8729493  0.0759756    11.490  < 2e-16 ***
ORIG_ID1064   -0.7635956  0.2063069    -3.701 0.000215 ***
ORIG_ID1066    1.1929544  0.0742964    16.057  < 2e-16 ***
ORIG_ID1067    1.6302567  0.0738077    22.088  < 2e-16 ***
ORIG_ID1068    2.1946106  0.0735236    29.849  < 2e-16 ***
ORIG_ID1069    1.2724123  0.0740280    17.188  < 2e-16 ***
ORIG_ID1071    0.5968840  0.0758039     7.874 3.43e-15 ***
ORIG_ID1078   -0.5924827  0.1029501    -5.755 8.66e-09 ***
ORIG_ID1080    1.8152737  0.0739494    24.548  < 2e-16 ***
ORIG_ID1081    1.8095432  0.0740084    24.450  < 2e-16 ***
ORIG_ID1082    1.1877726  0.0759125    15.647  < 2e-16 ***
ORIG_ID1086    1.0262281  0.0743830    13.797  < 2e-16 ***
ORIG_ID1087    1.5668995  0.0738183    21.226  < 2e-16 ***
ORIG_ID1089    1.7582681  0.0738546    23.807  < 2e-16 ***
ORIG_ID1090    0.7758343  0.0750624    10.336  < 2e-16 ***
ORIG_ID1097    1.5398543  0.0831298    18.523  < 2e-16 ***
ORIG_ID1100    2.2146495  0.0737437    30.032  < 2e-16 ***
ORIG_ID1101   -0.1779375  0.0896731    -1.984 0.047223 *  
ORIG_ID1102    0.5017051  0.0816010     6.148 7.83e-10 ***
ORIG_ID1104    1.8968553  0.0736790    25.745  < 2e-16 ***
ORIG_ID1105    1.7629435  0.0736350    23.942  < 2e-16 ***
ORIG_ID1106    1.2759050  0.0753044    16.943  < 2e-16 ***
ORIG_ID1107    0.6394160  0.0752939     8.492  < 2e-16 ***
ORIG_ID1108    0.9768358  0.0746647    13.083  < 2e-16 ***
ORIG_ID1115   -0.6214128  0.1066031    -5.829 5.57e-09 ***
ORIG_ID1116    0.8933824  0.0891423    10.022  < 2e-16 ***
ORIG_ID1119    0.2791895  0.0766194     3.644 0.000269 ***
ORIG_ID1120    1.2684779  0.0760844    16.672  < 2e-16 ***
ORIG_ID1123    0.4678125  0.0749107     6.245 4.24e-10 ***
ORIG_ID1124    1.0546134  0.0741507    14.223  < 2e-16 ***
ORIG_ID1125    1.7827081  0.0736451    24.207  < 2e-16 ***
ORIG_ID1128    1.5868008  0.0739741    21.451  < 2e-16 ***
ORIG_ID1138    0.9343390  0.0750328    12.452  < 2e-16 ***
ORIG_ID1139    2.2003353  0.0740634    29.709  < 2e-16 ***
ORIG_ID1140    1.5778046  0.0754712    20.906  < 2e-16 ***
ORIG_ID1142    0.2991448  0.0750981     3.983 6.79e-05 ***
ORIG_ID1143    1.9983353  0.0735126    27.184  < 2e-16 ***
ORIG_ID1144    0.7768248  0.0748878    10.373  < 2e-16 ***
ORIG_ID1145    1.0088526  0.0747013    13.505  < 2e-16 ***
ORIG_ID1146    1.3284454  0.0744099    17.853  < 2e-16 ***
ORIG_ID1147    0.7982002  0.0767239    10.404  < 2e-16 ***
ORIG_ID1152   -2.1681757  0.1535419   -14.121  < 2e-16 ***
ORIG_ID1153    1.1068219  0.0758782    14.587  < 2e-16 ***
ORIG_ID1157    2.4599706  0.0736736    33.390  < 2e-16 ***
ORIG_ID1158    0.9014158  0.0757400    11.901  < 2e-16 ***
ORIG_ID116     4.4177538  0.0786216    56.190  < 2e-16 ***
ORIG_ID1161    2.8742070  0.0734311    39.142  < 2e-16 ***
ORIG_ID1162    1.7488134  0.0736415    23.748  < 2e-16 ***
ORIG_ID1163    2.4080847  0.0734635    32.779  < 2e-16 ***
ORIG_ID1164    1.0130876  0.0747091    13.560  < 2e-16 ***
ORIG_ID1167    0.2382702  0.0809426     2.944 0.003243 ** 
ORIG_ID117     0.4618132  0.2059829     2.242 0.024962 *  
ORIG_ID1171   -0.7979885  0.1053635    -7.574 3.63e-14 ***
ORIG_ID1172    2.0580695  0.0745399    27.610  < 2e-16 ***
ORIG_ID1173    0.9166581  0.0766275    11.963  < 2e-16 ***
ORIG_ID1176    1.1839185  0.0744894    15.894  < 2e-16 ***
ORIG_ID1177    2.0141865  0.0741610    27.160  < 2e-16 ***
ORIG_ID118     0.3670703  0.0968323     3.791 0.000150 ***
ORIG_ID1180    2.0207737  0.0735771    27.465  < 2e-16 ***
ORIG_ID1181    1.8119265  0.0735337    24.641  < 2e-16 ***
ORIG_ID1183   -0.7291457  0.0824674    -8.842  < 2e-16 ***
ORIG_ID1184    1.5704364  0.0739319    21.242  < 2e-16 ***
ORIG_ID1186   -1.3408190  0.1231967   -10.884  < 2e-16 ***
ORIG_ID119    -0.5801333  0.0900848    -6.440 1.20e-10 ***
ORIG_ID1192   -0.6232604  0.0858844    -7.257 3.96e-13 ***
ORIG_ID1193    0.1984993  0.0768782     2.582 0.009823 ** 
ORIG_ID1194   -0.6107648  0.0807192    -7.567 3.83e-14 ***
ORIG_ID1195    2.7801158  0.0735663    37.791  < 2e-16 ***
ORIG_ID1196    1.2870185  0.0755276    17.040  < 2e-16 ***
ORIG_ID1199   -0.2976013  0.0767667    -3.877 0.000106 ***
ORIG_ID120    -1.1556931  0.0993110   -11.637  < 2e-16 ***
ORIG_ID1200    1.7101369  0.0736085    23.233  < 2e-16 ***
ORIG_ID1201    1.6711758  0.0736244    22.699  < 2e-16 ***
ORIG_ID1202    1.0431380  0.0740478    14.087  < 2e-16 ***
ORIG_ID1203    1.2099167  0.0747406    16.188  < 2e-16 ***
ORIG_ID1204    1.0702911  0.0752602    14.221  < 2e-16 ***
ORIG_ID1205   -1.9209040  0.2685392    -7.153 8.48e-13 ***
ORIG_ID1207    0.7259643  0.0760014     9.552  < 2e-16 ***
ORIG_ID1208    1.0140026  0.0756533    13.403  < 2e-16 ***
ORIG_ID1209    1.2053231  0.0756125    15.941  < 2e-16 ***
ORIG_ID121    -0.5947091  0.0928025    -6.408 1.47e-10 ***
ORIG_ID1210   -1.3920879  0.1361252   -10.227  < 2e-16 ***
ORIG_ID1211   -1.2443560  0.0926119   -13.436  < 2e-16 ***
ORIG_ID1212   -1.9565631  0.1067667   -18.326  < 2e-16 ***
ORIG_ID1213    3.0357561  0.0734586    41.326  < 2e-16 ***
ORIG_ID1214    1.7273815  0.0741366    23.300  < 2e-16 ***
ORIG_ID1218    1.6012212  0.0739506    21.653  < 2e-16 ***
ORIG_ID1219    2.7637823  0.0733998    37.654  < 2e-16 ***
ORIG_ID122     0.9406783  0.1176571     7.995 1.29e-15 ***
ORIG_ID1220    1.5048936  0.0736651    20.429  < 2e-16 ***
ORIG_ID1221    1.9680142  0.0736026    26.738  < 2e-16 ***
ORIG_ID1222    0.7357257  0.0760711     9.672  < 2e-16 ***
ORIG_ID1225    1.6305811  0.0739958    22.036  < 2e-16 ***
ORIG_ID1226    0.3742663  0.0763507     4.902 9.49e-07 ***
ORIG_ID1227    1.3262722  0.0746517    17.766  < 2e-16 ***
ORIG_ID1229   -0.6331597  0.0877507    -7.215 5.38e-13 ***
ORIG_ID1230    1.4904910  0.0742731    20.068  < 2e-16 ***
ORIG_ID1231    1.6097569  0.0739055    21.781  < 2e-16 ***
ORIG_ID1232    1.4890604  0.0740172    20.118  < 2e-16 ***
ORIG_ID1233    2.5034317  0.0737566    33.942  < 2e-16 ***
ORIG_ID1234   -0.8244409  0.1078743    -7.643 2.13e-14 ***
ORIG_ID1238    0.7333855  0.0742507     9.877  < 2e-16 ***
ORIG_ID1239    0.3276015  0.0745718     4.393 1.12e-05 ***
ORIG_ID1240    2.3652839  0.0734105    32.220  < 2e-16 ***
ORIG_ID1241    1.0096368  0.0746907    13.518  < 2e-16 ***
ORIG_ID1242   -0.3060050  0.0784075    -3.903 9.51e-05 ***
ORIG_ID1243   -1.0861836  0.0890511   -12.197  < 2e-16 ***
ORIG_ID1244    0.3066139  0.0755871     4.056 4.98e-05 ***
ORIG_ID1245    1.5492594  0.0745192    20.790  < 2e-16 ***
ORIG_ID1246    0.7702609  0.0766723    10.046  < 2e-16 ***
ORIG_ID1249   -1.0352433  0.0933437   -11.091  < 2e-16 ***
ORIG_ID1250    2.9639714  0.0734415    40.358  < 2e-16 ***
ORIG_ID1251    2.8125609  0.0734967    38.268  < 2e-16 ***
ORIG_ID1252    1.9471866  0.0740668    26.290  < 2e-16 ***
ORIG_ID1253   -0.3502908  0.0823006    -4.256 2.08e-05 ***
ORIG_ID1256    1.2267608  0.0739401    16.591  < 2e-16 ***
ORIG_ID1257    0.7162959  0.0741285     9.663  < 2e-16 ***
ORIG_ID1258    1.2449235  0.0737459    16.881  < 2e-16 ***
ORIG_ID1259    1.0923739  0.0739926    14.763  < 2e-16 ***
ORIG_ID1260    0.7548736  0.0762750     9.897  < 2e-16 ***
ORIG_ID1261   -0.4052100  0.0777894    -5.209 1.90e-07 ***
ORIG_ID1262    1.9501384  0.0736617    26.474  < 2e-16 ***
ORIG_ID1263    1.4813637  0.0738912    20.048  < 2e-16 ***
ORIG_ID1264    2.0510326  0.0737102    27.826  < 2e-16 ***
ORIG_ID1265    1.8303617  0.0740081    24.732  < 2e-16 ***
ORIG_ID1266    0.9172652  0.0762359    12.032  < 2e-16 ***
ORIG_ID1268    1.1850411  0.0748401    15.834  < 2e-16 ***
ORIG_ID1269    2.1935343  0.0735786    29.812  < 2e-16 ***
ORIG_ID1270    2.3169607  0.0736546    31.457  < 2e-16 ***
ORIG_ID1272    2.4159048  0.0764386    31.606  < 2e-16 ***
ORIG_ID1276    1.7268127  0.0735752    23.470  < 2e-16 ***
ORIG_ID1277    0.8491343  0.0740880    11.461  < 2e-16 ***
ORIG_ID1278    2.1176001  0.0734418    28.834  < 2e-16 ***
ORIG_ID1279    1.8557172  0.0736130    25.209  < 2e-16 ***
ORIG_ID1280    1.0528032  0.0739810    14.231  < 2e-16 ***
ORIG_ID1281    0.7646471  0.0744670    10.268  < 2e-16 ***
ORIG_ID1282    0.8485914  0.0743930    11.407  < 2e-16 ***
ORIG_ID1283    1.3833914  0.0738647    18.729  < 2e-16 ***
ORIG_ID1284    1.8378419  0.0737395    24.923  < 2e-16 ***
ORIG_ID1285    1.3880159  0.0742961    18.682  < 2e-16 ***
ORIG_ID1288    1.9477976  0.0739827    26.328  < 2e-16 ***
ORIG_ID1289    2.8887136  0.0735668    39.267  < 2e-16 ***
ORIG_ID1294    1.5502979  0.0738221    21.000  < 2e-16 ***
ORIG_ID1295    2.8537496  0.0733566    38.902  < 2e-16 ***
ORIG_ID1296    1.8118974  0.0734975    24.653  < 2e-16 ***
ORIG_ID1297    0.3262191  0.0764668     4.266 1.99e-05 ***
ORIG_ID1298    2.1228920  0.0735384    28.868  < 2e-16 ***
ORIG_ID1299    1.6322764  0.0736418    22.165  < 2e-16 ***
ORIG_ID1300   -0.6528614  0.0797729    -8.184 2.75e-16 ***
ORIG_ID1301    2.0530362  0.0735846    27.900  < 2e-16 ***
ORIG_ID1302    2.2230186  0.0734815    30.253  < 2e-16 ***
ORIG_ID1303    2.4303564  0.0735323    33.052  < 2e-16 ***
ORIG_ID1304   -0.0710654  0.0795375    -0.893 0.371599    
ORIG_ID1306    1.5171719  0.0747434    20.298  < 2e-16 ***
ORIG_ID1307    2.7499672  0.0736370    37.345  < 2e-16 ***
ORIG_ID1308    2.2526712  0.0743057    30.316  < 2e-16 ***
ORIG_ID1314    1.3436581  0.0737641    18.216  < 2e-16 ***
ORIG_ID1315    1.3003985  0.0736783    17.650  < 2e-16 ***
ORIG_ID1316    0.8311521  0.0748322    11.107  < 2e-16 ***
ORIG_ID1317    1.0007597  0.0743325    13.463  < 2e-16 ***
ORIG_ID1318    1.7533340  0.0736679    23.801  < 2e-16 ***
ORIG_ID1319    1.9771116  0.0735676    26.875  < 2e-16 ***
ORIG_ID1320    2.8339518  0.0733960    38.612  < 2e-16 ***
ORIG_ID1321    1.6218239  0.0736899    22.009  < 2e-16 ***
ORIG_ID1322    1.5693799  0.0737446    21.281  < 2e-16 ***
ORIG_ID1323    0.5135412  0.0766440     6.700 2.08e-11 ***
ORIG_ID1326    2.8238031  0.0736596    38.336  < 2e-16 ***
ORIG_ID1327    2.4789654  0.0739513    33.522  < 2e-16 ***
ORIG_ID1332   -0.2882446  0.0775639    -3.716 0.000202 ***
ORIG_ID1333    0.6567613  0.0742146     8.849  < 2e-16 ***
ORIG_ID1334    2.0271046  0.0734358    27.604  < 2e-16 ***
ORIG_ID1335    2.4960508  0.0734242    33.995  < 2e-16 ***
ORIG_ID1336    1.4171615  0.0738796    19.182  < 2e-16 ***
ORIG_ID1337    3.1756873  0.0733221    43.311  < 2e-16 ***
ORIG_ID1338    0.8365814  0.0741554    11.281  < 2e-16 ***
ORIG_ID1339    1.0721562  0.0740006    14.488  < 2e-16 ***
ORIG_ID1340    3.2561100  0.0733366    44.400  < 2e-16 ***
ORIG_ID1341    0.2414403  0.0759329     3.180 0.001475 ** 
ORIG_ID1342    0.4190598  0.0775722     5.402 6.58e-08 ***
ORIG_ID1345    2.2751247  0.0740064    30.742  < 2e-16 ***
ORIG_ID1352    0.5084860  0.0758336     6.705 2.01e-11 ***
ORIG_ID1353    1.2060768  0.0737614    16.351  < 2e-16 ***
ORIG_ID1354    2.5247877  0.0733675    34.413  < 2e-16 ***
ORIG_ID1355    2.1172209  0.0735732    28.777  < 2e-16 ***
ORIG_ID1356    1.9537534  0.0735558    26.562  < 2e-16 ***
ORIG_ID1357    2.1119855  0.0734866    28.740  < 2e-16 ***
ORIG_ID1358    1.9736618  0.0738821    26.714  < 2e-16 ***
ORIG_ID1359    2.2355859  0.0734835    30.423  < 2e-16 ***
ORIG_ID136     4.3045361  0.0781941    55.049  < 2e-16 ***
ORIG_ID1360    1.7685405  0.0737016    23.996  < 2e-16 ***
ORIG_ID1364   -2.2401379  0.1619233   -13.835  < 2e-16 ***
ORIG_ID137     0.4461821  0.1060511     4.207 2.59e-05 ***
ORIG_ID1370   -3.9391116  1.0028232    -3.928 8.56e-05 ***
ORIG_ID1371    0.4228589  0.0759768     5.566 2.61e-08 ***
ORIG_ID1372    2.0150206  0.0734771    27.424  < 2e-16 ***
ORIG_ID1373    1.5809708  0.0737254    21.444  < 2e-16 ***
ORIG_ID1374    1.3447582  0.0739993    18.173  < 2e-16 ***
ORIG_ID1375    1.9452044  0.0737807    26.365  < 2e-16 ***
ORIG_ID1376    1.3956066  0.0738120    18.908  < 2e-16 ***
ORIG_ID1377   -0.4292409  0.0775020    -5.538 3.05e-08 ***
ORIG_ID1378    2.3696621  0.0735044    32.238  < 2e-16 ***
ORIG_ID1379    1.3007033  0.0765884    16.983  < 2e-16 ***
ORIG_ID138     0.6854440  0.1341653     5.109 3.24e-07 ***
ORIG_ID1380    1.1769939  0.0753892    15.612  < 2e-16 ***
ORIG_ID1383    0.2596266  0.0826014     3.143 0.001672 ** 
ORIG_ID1389    1.7179256  0.0852902    20.142  < 2e-16 ***
ORIG_ID139     1.5565155  0.0885751    17.573  < 2e-16 ***
ORIG_ID1390    0.5994609  0.0766988     7.816 5.46e-15 ***
ORIG_ID1391    0.7770724  0.0743692    10.449  < 2e-16 ***
ORIG_ID1392    1.6947364  0.0735560    23.040  < 2e-16 ***
ORIG_ID1393    1.6829565  0.0735810    22.872  < 2e-16 ***
ORIG_ID1394    1.7167461  0.0736420    23.312  < 2e-16 ***
ORIG_ID1395    2.7773277  0.0737638    37.652  < 2e-16 ***
ORIG_ID1396    0.2557296  0.0767069     3.334 0.000857 ***
ORIG_ID1397    0.7938849  0.0806857     9.839  < 2e-16 ***
ORIG_ID1398    1.6688392  0.0742023    22.490  < 2e-16 ***
ORIG_ID140     1.3092601  0.0772378    16.951  < 2e-16 ***
ORIG_ID1401   -0.5372353  0.0964275    -5.571 2.53e-08 ***
ORIG_ID1408    0.6922816  0.0971039     7.129 1.01e-12 ***
ORIG_ID1409    0.7522611  0.0760893     9.887  < 2e-16 ***
ORIG_ID141    -1.6602494  0.1219319   -13.616  < 2e-16 ***
ORIG_ID1410   -0.2585159  0.0804650    -3.213 0.001315 ** 
ORIG_ID1411    2.0450409  0.0734766    27.833  < 2e-16 ***
ORIG_ID1412    2.3270949  0.0734528    31.682  < 2e-16 ***
ORIG_ID1413    1.8521126  0.0738057    25.094  < 2e-16 ***
ORIG_ID1414   -0.5807894  0.0793228    -7.322 2.45e-13 ***
ORIG_ID1415    0.9185685  0.0742869    12.365  < 2e-16 ***
ORIG_ID1416    0.2833732  0.0758420     3.736 0.000187 ***
ORIG_ID1417    0.2641064  0.0765834     3.449 0.000563 ***
ORIG_ID1418   -0.1885192  0.0804425    -2.344 0.019102 *  
ORIG_ID1419   -1.5328737  0.1240313   -12.359  < 2e-16 ***
ORIG_ID142    -0.0651167  0.1016463    -0.641 0.521769    
ORIG_ID1420   -0.5989208  0.1003615    -5.968 2.41e-09 ***
ORIG_ID1428   -1.8714841  0.1988047    -9.414  < 2e-16 ***
ORIG_ID1430    0.7811412  0.0759342    10.287  < 2e-16 ***
ORIG_ID1431   -0.5384906  0.0771198    -6.983 2.90e-12 ***
ORIG_ID1432    1.9192863  0.0735299    26.102  < 2e-16 ***
ORIG_ID1433    0.2685875  0.0811204     3.311 0.000930 ***
ORIG_ID1434    0.3833023  0.0753898     5.084 3.69e-07 ***
ORIG_ID1435    1.9511089  0.0738862    26.407  < 2e-16 ***
ORIG_ID1436    0.2612488  0.0760270     3.436 0.000590 ***
ORIG_ID1439    0.2057409  0.0801300     2.568 0.010241 *  
ORIG_ID1440   -0.6427462  0.1022344    -6.287 3.24e-10 ***
ORIG_ID1448    2.1944129  0.0749748    29.269  < 2e-16 ***
ORIG_ID1449    1.1904858  0.0738332    16.124  < 2e-16 ***
ORIG_ID1450    1.6469113  0.0737951    22.317  < 2e-16 ***
ORIG_ID1451    2.1793197  0.0735344    29.637  < 2e-16 ***
ORIG_ID1452    0.6794715  0.0743829     9.135  < 2e-16 ***
ORIG_ID1453    1.9272122  0.0735613    26.199  < 2e-16 ***
ORIG_ID1454    1.7132010  0.0747176    22.929  < 2e-16 ***
ORIG_ID1455    0.5381690  0.0751985     7.157 8.27e-13 ***
ORIG_ID1456    2.3213943  0.0737140    31.492  < 2e-16 ***
ORIG_ID1457    2.1138167  0.0739775    28.574  < 2e-16 ***
ORIG_ID1458   -0.4208697  0.1022752    -4.115 3.87e-05 ***
ORIG_ID1468    1.4666231  0.0763571    19.207  < 2e-16 ***
ORIG_ID1469    2.0096141  0.0735098    27.338  < 2e-16 ***
ORIG_ID1470    1.0920828  0.0742876    14.701  < 2e-16 ***
ORIG_ID1471    1.9284911  0.0736717    26.177  < 2e-16 ***
ORIG_ID1472    3.2291336  0.0733465    44.026  < 2e-16 ***
ORIG_ID1473    0.8816589  0.0742748    11.870  < 2e-16 ***
ORIG_ID1474    2.5528299  0.0734832    34.740  < 2e-16 ***
ORIG_ID1475    1.1768688  0.0746874    15.757  < 2e-16 ***
ORIG_ID1476    1.2929134  0.0746117    17.329  < 2e-16 ***
ORIG_ID1477   -1.6476895  0.1206410   -13.658  < 2e-16 ***
ORIG_ID1486   -0.3048776  0.0847486    -3.597 0.000321 ***
ORIG_ID1487    1.8143168  0.0735850    24.656  < 2e-16 ***
ORIG_ID1488    0.2192919  0.0773039     2.837 0.004558 ** 
ORIG_ID1489    1.4004548  0.0739506    18.938  < 2e-16 ***
ORIG_ID1490    0.7740363  0.0751366    10.302  < 2e-16 ***
ORIG_ID1491    1.4744360  0.0737201    20.000  < 2e-16 ***
ORIG_ID1492    1.6838870  0.0737083    22.845  < 2e-16 ***
ORIG_ID1493    2.2638376  0.0735770    30.768  < 2e-16 ***
ORIG_ID1494    2.2531279  0.0738492    30.510  < 2e-16 ***
ORIG_ID1506   -1.5133001  0.1181597   -12.807  < 2e-16 ***
ORIG_ID1507    2.2028595  0.0734821    29.978  < 2e-16 ***
ORIG_ID1508    1.1630147  0.0739845    15.720  < 2e-16 ***
ORIG_ID1509    1.6246015  0.0751882    21.607  < 2e-16 ***
ORIG_ID1510    1.6773182  0.0737043    22.757  < 2e-16 ***
ORIG_ID1512    2.4020181  0.0734728    32.693  < 2e-16 ***
ORIG_ID1513    2.6890398  0.0739306    36.373  < 2e-16 ***
ORIG_ID1514    1.9087927  0.0741908    25.728  < 2e-16 ***
ORIG_ID1524    1.0090897  0.0760165    13.275  < 2e-16 ***
ORIG_ID1525    1.7091188  0.0737102    23.187  < 2e-16 ***
ORIG_ID1526    1.6894417  0.0737074    22.921  < 2e-16 ***
ORIG_ID1527    1.4249725  0.0744536    19.139  < 2e-16 ***
ORIG_ID1528    1.0081535  0.0742356    13.580  < 2e-16 ***
ORIG_ID1529    0.4404822  0.0751659     5.860 4.62e-09 ***
ORIG_ID1530    0.8405125  0.0746263    11.263  < 2e-16 ***
ORIG_ID1531    1.9081591  0.0736611    25.905  < 2e-16 ***
ORIG_ID1532    1.2463061  0.0749212    16.635  < 2e-16 ***
ORIG_ID1544    1.6332483  0.0739549    22.084  < 2e-16 ***
ORIG_ID1545    1.4518335  0.0737206    19.694  < 2e-16 ***
ORIG_ID1546    1.9754347  0.0736008    26.840  < 2e-16 ***
ORIG_ID1547    1.3051675  0.0740427    17.627  < 2e-16 ***
ORIG_ID1548    2.1022802  0.0736309    28.552  < 2e-16 ***
ORIG_ID1549    2.7875061  0.0734438    37.954  < 2e-16 ***
ORIG_ID1550    2.5530357  0.0734254    34.770  < 2e-16 ***
ORIG_ID1551   -0.1113044  0.0768390    -1.449 0.147466    
ORIG_ID1552    2.4110914  0.0736812    32.723  < 2e-16 ***
ORIG_ID156     1.7786223  0.1136453    15.651  < 2e-16 ***
ORIG_ID1562   -2.6464342  0.2868812    -9.225  < 2e-16 ***
ORIG_ID1563    1.6079243  0.0738081    21.785  < 2e-16 ***
ORIG_ID1564    2.2322666  0.0734945    30.373  < 2e-16 ***
ORIG_ID1565    1.3492920  0.0739015    18.258  < 2e-16 ***
ORIG_ID1566   -0.2711126  0.0790896    -3.428 0.000608 ***
ORIG_ID1567    1.8331573  0.0737116    24.869  < 2e-16 ***
ORIG_ID1568    2.1114203  0.0735041    28.725  < 2e-16 ***
ORIG_ID1569    1.6077915  0.0737098    21.812  < 2e-16 ***
ORIG_ID1570    1.9174404  0.0736594    26.031  < 2e-16 ***
ORIG_ID1571    2.8715804  0.0744193    38.587  < 2e-16 ***
ORIG_ID158    -0.2570140  0.1117492    -2.300 0.021453 *  
ORIG_ID1582    0.8973302  0.0744435    12.054  < 2e-16 ***
ORIG_ID1583    2.4138947  0.0734415    32.868  < 2e-16 ***
ORIG_ID1584    1.1186917  0.0739699    15.124  < 2e-16 ***
ORIG_ID1585    0.4615187  0.0754309     6.118 9.45e-10 ***
ORIG_ID1587    2.1199382  0.0735741    28.814  < 2e-16 ***
ORIG_ID1588    2.9331152  0.0733787    39.972  < 2e-16 ***
ORIG_ID1589    2.0218762  0.0735681    27.483  < 2e-16 ***
ORIG_ID159    -0.1030994  0.0959131    -1.075 0.282408    
ORIG_ID1590    1.6767369  0.0738080    22.718  < 2e-16 ***
ORIG_ID1591   -1.0958932  0.0957810   -11.442  < 2e-16 ***
ORIG_ID160     1.3121645  0.0754199    17.398  < 2e-16 ***
ORIG_ID1600   -0.9703750  0.1676507    -5.788 7.12e-09 ***
ORIG_ID1601    1.2483811  0.0739091    16.891  < 2e-16 ***
ORIG_ID1602    2.0218799  0.0737903    27.400  < 2e-16 ***
ORIG_ID1603    0.7140052  0.0748710     9.536  < 2e-16 ***
ORIG_ID1604    2.5814901  0.0747744    34.524  < 2e-16 ***
ORIG_ID1606    1.9012759  0.0736122    25.828  < 2e-16 ***
ORIG_ID1607    1.3840276  0.0738643    18.737  < 2e-16 ***
ORIG_ID1608    3.0545421  0.0733827    41.625  < 2e-16 ***
ORIG_ID1609    1.9757355  0.0737324    26.796  < 2e-16 ***
ORIG_ID1610    1.5883303  0.0765655    20.745  < 2e-16 ***
ORIG_ID1620    2.4161541  0.0735202    32.864  < 2e-16 ***
ORIG_ID1621    2.1000938  0.0736121    28.529  < 2e-16 ***
ORIG_ID1622    1.5169714  0.0741673    20.453  < 2e-16 ***
ORIG_ID1623    1.1478046  0.0743309    15.442  < 2e-16 ***
ORIG_ID1624    0.9194434  0.0791995    11.609  < 2e-16 ***
ORIG_ID1625   -1.2370806  0.0920588   -13.438  < 2e-16 ***
ORIG_ID1626    2.0497107  0.0736502    27.830  < 2e-16 ***
ORIG_ID1627    2.0690290  0.0735711    28.123  < 2e-16 ***
ORIG_ID1628    1.9486230  0.0736126    26.471  < 2e-16 ***
ORIG_ID1629    1.0241613  0.0747985    13.692  < 2e-16 ***
ORIG_ID1630    0.3694740  0.0832164     4.440 9.00e-06 ***
ORIG_ID1639    1.5487370  0.0738317    20.977  < 2e-16 ***
ORIG_ID1640    2.5754638  0.0734142    35.081  < 2e-16 ***
ORIG_ID1641    2.0043098  0.0735866    27.237  < 2e-16 ***
ORIG_ID1645    1.8795266  0.0738737    25.442  < 2e-16 ***
ORIG_ID1646    1.8498422  0.0736598    25.113  < 2e-16 ***
ORIG_ID1647    3.0274348  0.0734167    41.236  < 2e-16 ***
ORIG_ID1648   -0.2750635  0.0861867    -3.191 0.001415 ** 
ORIG_ID1658    2.8731575  0.0734373    39.124  < 2e-16 ***
ORIG_ID1659    1.3875143  0.0738610    18.785  < 2e-16 ***
ORIG_ID1660    1.4530016  0.0737989    19.689  < 2e-16 ***
ORIG_ID1661    0.7020232  0.0749487     9.367  < 2e-16 ***
ORIG_ID1663   -1.0684349  0.1148193    -9.305  < 2e-16 ***
ORIG_ID1665    1.4401661  0.0742452    19.397  < 2e-16 ***
ORIG_ID1666    2.9670641  0.0734122    40.416  < 2e-16 ***
ORIG_ID1667    0.6300486  0.0773406     8.146 3.75e-16 ***
ORIG_ID1668    3.2024377  0.0750515    42.670  < 2e-16 ***
ORIG_ID1677    1.5566334  0.0737364    21.111  < 2e-16 ***
ORIG_ID1678    1.9409178  0.0736446    26.355  < 2e-16 ***
ORIG_ID1679    2.1015714  0.0736407    28.538  < 2e-16 ***
ORIG_ID1682    0.6779603  0.0815809     8.310  < 2e-16 ***
ORIG_ID1684    2.3762069  0.0750684    31.654  < 2e-16 ***
ORIG_ID1685    1.9209176  0.0737669    26.040  < 2e-16 ***
ORIG_ID1696    1.7481401  0.0739471    23.640  < 2e-16 ***
ORIG_ID1697    0.1213158  0.0766729     1.582 0.113592    
ORIG_ID1698    2.1272913  0.0760867    27.959  < 2e-16 ***
ORIG_ID1699    1.7799447  0.0737659    24.130  < 2e-16 ***
ORIG_ID1702   -0.4569133  0.0985165    -4.638 3.52e-06 ***
ORIG_ID1704    2.0321962  0.0737679    27.549  < 2e-16 ***
ORIG_ID1705    1.8926177  0.0754858    25.073  < 2e-16 ***
ORIG_ID1715    1.8274346  0.0737105    24.792  < 2e-16 ***
ORIG_ID1716    1.0023703  0.0742200    13.505  < 2e-16 ***
ORIG_ID1717    1.2342120  0.0744322    16.582  < 2e-16 ***
ORIG_ID1718   -2.2064565  0.1331226   -16.575  < 2e-16 ***
ORIG_ID1721   -0.6048374  0.1081604    -5.592 2.24e-08 ***
ORIG_ID1723    1.3784243  0.0753493    18.294  < 2e-16 ***
ORIG_ID1734   -1.5760392  0.1107877   -14.226  < 2e-16 ***
ORIG_ID1735    1.0772622  0.0742812    14.502  < 2e-16 ***
ORIG_ID1736    1.8413950  0.0739268    24.908  < 2e-16 ***
ORIG_ID1737    1.8558130  0.0737554    25.162  < 2e-16 ***
ORIG_ID1740    0.0930324  0.0897961     1.036 0.300183    
ORIG_ID1742    1.4857929  0.0752984    19.732  < 2e-16 ***
ORIG_ID1753    1.4350672  0.0741003    19.367  < 2e-16 ***
ORIG_ID1754    1.9461848  0.0735943    26.445  < 2e-16 ***
ORIG_ID1755    2.1282841  0.0736721    28.889  < 2e-16 ***
ORIG_ID1758   -0.4858923  0.0944710    -5.143 2.70e-07 ***
ORIG_ID177     0.6961807  0.0930182     7.484 7.19e-14 ***
ORIG_ID1772   -2.4248135  0.2169214   -11.178  < 2e-16 ***
ORIG_ID1773    1.1818881  0.0743907    15.888  < 2e-16 ***
ORIG_ID1774    3.5584441  0.0733227    48.531  < 2e-16 ***
ORIG_ID1775    1.1800906  0.0743433    15.874  < 2e-16 ***
ORIG_ID1776    1.9727524  0.0737321    26.756  < 2e-16 ***
ORIG_ID1778   -0.0602540  0.0940115    -0.641 0.521574    
ORIG_ID178    -0.1080496  0.0866215    -1.247 0.212260    
ORIG_ID179    -0.2283922  0.1428609    -1.599 0.109886    
ORIG_ID1791    1.2728977  0.0744419    17.099  < 2e-16 ***
ORIG_ID1792   -0.5553577  0.0775385    -7.162 7.93e-13 ***
ORIG_ID1793    1.5894769  0.0737255    21.559  < 2e-16 ***
ORIG_ID1794    0.9455652  0.0755466    12.516  < 2e-16 ***
ORIG_ID1795    1.9733442  0.0737151    26.770  < 2e-16 ***
ORIG_ID1796    0.8590677  0.0747426    11.494  < 2e-16 ***
ORIG_ID1797    1.1953489  0.0744695    16.052  < 2e-16 ***
ORIG_ID1811    1.5856455  0.0738967    21.458  < 2e-16 ***
ORIG_ID1812    1.9654514  0.0735366    26.728  < 2e-16 ***
ORIG_ID1813    1.8697551  0.0736821    25.376  < 2e-16 ***
ORIG_ID1814    2.5527159  0.0735177    34.722  < 2e-16 ***
ORIG_ID1815    1.9424935  0.0736970    26.358  < 2e-16 ***
ORIG_ID1816    1.3540143  0.0742350    18.240  < 2e-16 ***
ORIG_ID1817   -0.2717586  0.0816346    -3.329 0.000872 ***
ORIG_ID1830    2.0498084  0.0738726    27.748  < 2e-16 ***
ORIG_ID1831    2.2383006  0.0735246    30.443  < 2e-16 ***
ORIG_ID1832    1.8389945  0.0736327    24.975  < 2e-16 ***
ORIG_ID1833    1.4587115  0.0737493    19.779  < 2e-16 ***
ORIG_ID1834    0.1157293  0.0764206     1.514 0.129931    
ORIG_ID1835    2.3766136  0.0735938    32.294  < 2e-16 ***
ORIG_ID1849    1.2491519  0.0744345    16.782  < 2e-16 ***
ORIG_ID1850    1.7962426  0.0736720    24.382  < 2e-16 ***
ORIG_ID1851   -0.6381279  0.1009323    -6.322 2.58e-10 ***
ORIG_ID1852    2.3089055  0.0734467    31.436  < 2e-16 ***
ORIG_ID1853    1.3081733  0.0739723    17.685  < 2e-16 ***
ORIG_ID1854    1.6763829  0.0737669    22.725  < 2e-16 ***
ORIG_ID1855    0.8239115  0.0773478    10.652  < 2e-16 ***
ORIG_ID1868    1.8349764  0.0738116    24.860  < 2e-16 ***
ORIG_ID1869    0.8981684  0.0743964    12.073  < 2e-16 ***
ORIG_ID1870   -0.0045837  0.0813987    -0.056 0.955093    
ORIG_ID1871    3.5392051  0.0733297    48.264  < 2e-16 ***
ORIG_ID1872    1.2568623  0.0744703    16.877  < 2e-16 ***
ORIG_ID1873    1.7666114  0.0738561    23.920  < 2e-16 ***
ORIG_ID1887    0.9646223  0.0748792    12.882  < 2e-16 ***
ORIG_ID1888    2.1214465  0.0736507    28.804  < 2e-16 ***
ORIG_ID1889    1.3180619  0.0740492    17.800  < 2e-16 ***
ORIG_ID1890    1.6997691  0.0736099    23.092  < 2e-16 ***
ORIG_ID1891    1.1355657  0.0741781    15.309  < 2e-16 ***
ORIG_ID1892    3.0630083  0.0734016    41.729  < 2e-16 ***
ORIG_ID1893   -0.5970582  0.0950454    -6.282 3.35e-10 ***
ORIG_ID1905    0.3508278  0.1017216     3.449 0.000563 ***
ORIG_ID1906   -0.2568477  0.0779948    -3.293 0.000991 ***
ORIG_ID1907    1.0544613  0.0742676    14.198  < 2e-16 ***
ORIG_ID1908    2.0268721  0.0737001    27.502  < 2e-16 ***
ORIG_ID1909    1.4839480  0.0737162    20.131  < 2e-16 ***
ORIG_ID1910    0.6890530  0.0747510     9.218  < 2e-16 ***
ORIG_ID1911   -2.1266164  0.1199567   -17.728  < 2e-16 ***
ORIG_ID1926    0.9748235  0.0753963    12.929  < 2e-16 ***
ORIG_ID1927    0.4878898  0.0754415     6.467 9.99e-11 ***
ORIG_ID1928    2.2180701  0.0735084    30.174  < 2e-16 ***
ORIG_ID1929    2.2726135  0.0736870    30.841  < 2e-16 ***
ORIG_ID1930    1.6074536  0.0738505    21.766  < 2e-16 ***
ORIG_ID1944    1.6660371  0.0748826    22.249  < 2e-16 ***
ORIG_ID1945   -0.3615392  0.0796121    -4.541 5.59e-06 ***
ORIG_ID1946    1.9717683  0.0737523    26.735  < 2e-16 ***
ORIG_ID1947    2.3837964  0.0734837    32.440  < 2e-16 ***
ORIG_ID1948    2.5091942  0.0735156    34.131  < 2e-16 ***
ORIG_ID1949    1.8395613  0.0740079    24.856  < 2e-16 ***
ORIG_ID195     1.2095281  0.0940566    12.860  < 2e-16 ***
ORIG_ID196     1.2888419  0.0833114    15.470  < 2e-16 ***
ORIG_ID1965    1.1936451  0.0744073    16.042  < 2e-16 ***
ORIG_ID1966    1.0061830  0.0746775    13.474  < 2e-16 ***
ORIG_ID1967    1.3277640  0.0739078    17.965  < 2e-16 ***
ORIG_ID1968    1.8264752  0.0738971    24.716  < 2e-16 ***
ORIG_ID197     0.9146072  0.0787462    11.615  < 2e-16 ***
ORIG_ID1983    0.9222161  0.0761157    12.116  < 2e-16 ***
ORIG_ID1984    0.6093524  0.0757773     8.041 8.88e-16 ***
ORIG_ID1985    1.3570006  0.0742181    18.284  < 2e-16 ***
ORIG_ID1986    1.9145455  0.0737253    25.969  < 2e-16 ***
ORIG_ID1987    0.6358403  0.0829490     7.665 1.78e-14 ***
ORIG_ID2002   -0.6004944  0.1102982    -5.444 5.20e-08 ***
ORIG_ID2003   -0.7259765  0.0895803    -8.104 5.31e-16 ***
ORIG_ID2004    0.6495165  0.0793990     8.180 2.83e-16 ***
ORIG_ID2005    1.6085934  0.0742917    21.652  < 2e-16 ***
ORIG_ID2006    0.4849948  0.0764124     6.347 2.19e-10 ***
ORIG_ID2021    0.5058930  0.0836783     6.046 1.49e-09 ***
ORIG_ID2022    1.0398866  0.0825457    12.598  < 2e-16 ***
ORIG_ID2023    0.8738885  0.0770370    11.344  < 2e-16 ***
ORIG_ID2024   -0.3447146  0.0816035    -4.224 2.40e-05 ***
ORIG_ID2025   -0.1238299  0.0934467    -1.325 0.185125    
ORIG_ID2042   -0.3290175  0.0950432    -3.462 0.000537 ***
ORIG_ID2043    0.3224895  0.0811764     3.973 7.11e-05 ***
ORIG_ID2044    0.3636652  0.0774575     4.695 2.67e-06 ***
ORIG_ID2045    0.5628569  0.0891066     6.317 2.67e-10 ***
ORIG_ID2061    0.0440254  0.0972678     0.453 0.650822    
ORIG_ID2062    0.7758169  0.0796887     9.736  < 2e-16 ***
ORIG_ID2063    0.0968169  0.0803084     1.206 0.227985    
ORIG_ID2064   -1.1997109  0.1100326   -10.903  < 2e-16 ***
ORIG_ID2079    1.8189061  0.0751534    24.203  < 2e-16 ***
ORIG_ID2082   -1.8858559  0.1593556   -11.834  < 2e-16 ***
ORIG_ID2083   -0.3444422  0.0820239    -4.199 2.68e-05 ***
ORIG_ID2098   -0.7671187  0.0858371    -8.937  < 2e-16 ***
ORIG_ID2099    1.3376489  0.0743506    17.991  < 2e-16 ***
ORIG_ID2102    2.8197000  0.0740474    38.080  < 2e-16 ***
ORIG_ID2115    3.8301684  0.0752672    50.888  < 2e-16 ***
ORIG_ID2119    2.0768611  0.0740357    28.052  < 2e-16 ***
ORIG_ID2121    1.2133037  0.0755382    16.062  < 2e-16 ***
ORIG_ID2137    1.6885390  0.0755528    22.349  < 2e-16 ***
ORIG_ID2140    0.3690197  0.0842295     4.381 1.18e-05 ***
ORIG_ID215     0.5618637  0.1478962     3.799 0.000145 ***
ORIG_ID2153   -1.3359050  0.1002279   -13.329  < 2e-16 ***
ORIG_ID2158    1.7869238  0.0761919    23.453  < 2e-16 ***
ORIG_ID216    -0.6092364  0.1115781    -5.460 4.76e-08 ***
ORIG_ID217    -0.6947840  0.1764305    -3.938 8.22e-05 ***
ORIG_ID2177    1.6162252  0.0763818    21.160  < 2e-16 ***
ORIG_ID2178    0.4112638  0.0856179     4.803 1.56e-06 ***
ORIG_ID2196    1.6132311  0.0853738    18.896  < 2e-16 ***
ORIG_ID2197    1.4048488  0.0781434    17.978  < 2e-16 ***
ORIG_ID2267    0.1837011  0.1095959     1.676 0.093705 .  
ORIG_ID233     1.7649652  0.0848498    20.801  < 2e-16 ***
ORIG_ID234    -1.0552850  0.1111522    -9.494  < 2e-16 ***
ORIG_ID235     0.3741459  0.0876463     4.269 1.97e-05 ***
ORIG_ID252     3.6336413  0.0787312    46.153  < 2e-16 ***
ORIG_ID253     1.1204997  0.0833933    13.436  < 2e-16 ***
ORIG_ID254     0.4408375  0.0837600     5.263 1.42e-07 ***
ORIG_ID270    -0.5279570  0.2358884    -2.238 0.025210 *  
ORIG_ID271     1.0291429  0.0998459    10.307  < 2e-16 ***
ORIG_ID272     0.1959440  0.0912820     2.147 0.031827 *  
ORIG_ID290     2.1984032  0.0882325    24.916  < 2e-16 ***
ORIG_ID291     0.5957219  0.1164478     5.116 3.12e-07 ***
ORIG_ID292     0.0710989  0.1011804     0.703 0.482246    
ORIG_ID308     3.3174535  0.0801015    41.416  < 2e-16 ***
ORIG_ID309     1.3808214  0.0861497    16.028  < 2e-16 ***
ORIG_ID310     0.3435605  0.0869833     3.950 7.82e-05 ***
ORIG_ID329     1.7569600  0.0837797    20.971  < 2e-16 ***
ORIG_ID330     0.1027453  0.0847680     1.212 0.225483    
ORIG_ID347     2.0216344  0.0805549    25.096  < 2e-16 ***
ORIG_ID348     0.0053829  0.0913127     0.059 0.952992    
ORIG_ID349    -1.2129311  0.1243964    -9.751  < 2e-16 ***
ORIG_ID366     2.5576795  0.0827949    30.892  < 2e-16 ***
ORIG_ID367     1.2602588  0.0861326    14.632  < 2e-16 ***
ORIG_ID368     2.7802729  0.0734101    37.873  < 2e-16 ***
ORIG_ID369     1.1020723  0.0792902    13.899  < 2e-16 ***
ORIG_ID370     1.9788300  0.0752913    26.282  < 2e-16 ***
ORIG_ID385    -0.2063693  0.1290442    -1.599 0.109773    
ORIG_ID386     0.3229627  0.0855516     3.775 0.000160 ***
ORIG_ID387    -0.1316784  0.0802289    -1.641 0.100739    
ORIG_ID388     1.1371990  0.0773982    14.693  < 2e-16 ***
ORIG_ID389     1.0319634  0.0782035    13.196  < 2e-16 ***
ORIG_ID40     -1.3391327  0.1801077    -7.435 1.04e-13 ***
ORIG_ID404     0.8580146  0.0937589     9.151  < 2e-16 ***
ORIG_ID405    -0.5308054  0.1069614    -4.963 6.96e-07 ***
ORIG_ID406    -0.4870227  0.0877297    -5.551 2.83e-08 ***
ORIG_ID407     1.6890422  0.0743784    22.709  < 2e-16 ***
ORIG_ID408     0.9765679  0.0760299    12.845  < 2e-16 ***
ORIG_ID42      0.6576025  0.0991381     6.633 3.29e-11 ***
ORIG_ID424     1.2175057  0.0805968    15.106  < 2e-16 ***
ORIG_ID425    -0.0498026  0.0794334    -0.627 0.530677    
ORIG_ID426     2.4373924  0.0736329    33.102  < 2e-16 ***
ORIG_ID427     2.2250431  0.0751242    29.618  < 2e-16 ***
ORIG_ID442     0.5757038  0.1001634     5.748 9.05e-09 ***
ORIG_ID443    -2.7663814  0.3103494    -8.914  < 2e-16 ***
ORIG_ID444     1.2313262  0.0760685    16.187  < 2e-16 ***
ORIG_ID445     0.8447687  0.0748472    11.287  < 2e-16 ***
ORIG_ID447    -2.0162950  0.1820646   -11.075  < 2e-16 ***
ORIG_ID448     1.5529058  0.0794868    19.537  < 2e-16 ***
ORIG_ID461     0.9985606  0.0852728    11.710  < 2e-16 ***
ORIG_ID462     1.2318141  0.0779148    15.810  < 2e-16 ***
ORIG_ID463     0.0220263  0.0777204     0.283 0.776867    
ORIG_ID464     2.5900352  0.0734215    35.276  < 2e-16 ***
ORIG_ID465    -0.4043409  0.0888132    -4.553 5.30e-06 ***
ORIG_ID466     0.2979955  0.0906659     3.287 0.001014 ** 
ORIG_ID467    -0.4566026  0.1291225    -3.536 0.000406 ***
ORIG_ID480     0.1797652  0.1097698     1.638 0.101493    
ORIG_ID481     1.2922702  0.0799264    16.168  < 2e-16 ***
ORIG_ID482     0.3752927  0.0784686     4.783 1.73e-06 ***
ORIG_ID483     2.3660376  0.0734234    32.225  < 2e-16 ***
ORIG_ID484     2.6620822  0.0734880    36.225  < 2e-16 ***
ORIG_ID486     0.6510981  0.0833852     7.808 5.80e-15 ***
ORIG_ID487    -0.7020452  0.1425363    -4.925 8.42e-07 ***
ORIG_ID488    -2.1330391  0.3103072    -6.874 6.24e-12 ***
ORIG_ID499     0.2513213  0.1018492     2.468 0.013603 *  
ORIG_ID500     0.1779572  0.0900269     1.977 0.048074 *  
ORIG_ID501    -0.4042626  0.0777611    -5.199 2.01e-07 ***
ORIG_ID502     1.9566128  0.0735194    26.614  < 2e-16 ***
ORIG_ID503     1.6336283  0.0749930    21.784  < 2e-16 ***
ORIG_ID507     0.7375095  0.1031900     7.147 8.86e-13 ***
ORIG_ID508    -0.3033443  0.1475318    -2.056 0.039770 *  
ORIG_ID518    -0.6977024  0.1452228    -4.804 1.55e-06 ***
ORIG_ID519     0.7143589  0.0859377     8.313  < 2e-16 ***
ORIG_ID520     1.1081563  0.1110956     9.975  < 2e-16 ***
ORIG_ID521     4.0686241  0.0732192    55.568  < 2e-16 ***
ORIG_ID522     1.8932325  0.0737253    25.680  < 2e-16 ***
ORIG_ID524    -1.9021351  0.1708406   -11.134  < 2e-16 ***
ORIG_ID528    -0.0710341  0.1364461    -0.521 0.602644    
ORIG_ID529     0.7301320  0.1100692     6.633 3.28e-11 ***
ORIG_ID530     1.1760000  0.1037974    11.330  < 2e-16 ***
ORIG_ID537    -0.3855680  0.1212900    -3.179 0.001478 ** 
ORIG_ID538     0.4535153  0.0858585     5.282 1.28e-07 ***
ORIG_ID539     0.1257635  0.0764641     1.645 0.100024    
ORIG_ID540     1.5227599  0.0736399    20.678  < 2e-16 ***
ORIG_ID541    -0.8483165  0.1145567    -7.405 1.31e-13 ***
ORIG_ID547    -0.3556326  0.1558601    -2.282 0.022505 *  
ORIG_ID548    -0.0886313  0.1472013    -0.602 0.547101    
ORIG_ID557    -0.6201326  0.0993330    -6.243 4.29e-10 ***
ORIG_ID558    -0.0460519  0.0822425    -0.560 0.575511    
ORIG_ID559    -0.8152058  0.0806104   -10.113  < 2e-16 ***
ORIG_ID560     2.3170332  0.0734927    31.527  < 2e-16 ***
ORIG_ID562    -0.1122694  0.0861530    -1.303 0.192527    
ORIG_ID577    -0.5924803  0.0850274    -6.968 3.21e-12 ***
ORIG_ID578     2.1538288  0.0734878    29.309  < 2e-16 ***
ORIG_ID595     0.9412682  0.0780613    12.058  < 2e-16 ***
ORIG_ID596     1.2242845  0.0745485    16.423  < 2e-16 ***
ORIG_ID597     1.5645332  0.0738536    21.184  < 2e-16 ***
ORIG_ID598     3.0085983  0.0733376    41.024  < 2e-16 ***
ORIG_ID60      0.5515879  0.2302069     2.396 0.016573 *  
ORIG_ID600     3.1070013  0.0741108    41.924  < 2e-16 ***
ORIG_ID61      1.2029635  0.0814246    14.774  < 2e-16 ***
ORIG_ID613     1.5239814  0.0793119    19.215  < 2e-16 ***
ORIG_ID614    -1.1330288  0.0999629   -11.334  < 2e-16 ***
ORIG_ID615     2.7004054  0.0734693    36.756  < 2e-16 ***
ORIG_ID616     2.7111207  0.0734276    36.922  < 2e-16 ***
ORIG_ID617     1.1322822  0.0752876    15.039  < 2e-16 ***
ORIG_ID62      0.4339237  0.1590036     2.729 0.006352 ** 
ORIG_ID633     1.0290120  0.0773864    13.297  < 2e-16 ***
ORIG_ID634     2.0175438  0.0738251    27.329  < 2e-16 ***
ORIG_ID635     1.2286513  0.0743660    16.522  < 2e-16 ***
ORIG_ID636     2.6580125  0.0734046    36.210  < 2e-16 ***
ORIG_ID638     0.0175698  0.0824217     0.213 0.831195    
ORIG_ID654     0.0332544  0.0771819     0.431 0.666572    
ORIG_ID657    -0.2654196  0.0848416    -3.128 0.001758 ** 
ORIG_ID662    -0.6908291  0.1301058    -5.310 1.10e-07 ***
ORIG_ID671     0.6829072  0.0788439     8.662  < 2e-16 ***
ORIG_ID673    -0.1096740  0.0772172    -1.420 0.155511    
ORIG_ID674     2.1299925  0.0735832    28.947  < 2e-16 ***
ORIG_ID682     1.2352856  0.0866419    14.257  < 2e-16 ***
ORIG_ID689     1.2668960  0.0782183    16.197  < 2e-16 ***
ORIG_ID690     1.7290679  0.0744791    23.215  < 2e-16 ***
ORIG_ID691    -0.7699491  0.0815955    -9.436  < 2e-16 ***
ORIG_ID692     2.8274212  0.0733775    38.533  < 2e-16 ***
ORIG_ID693     1.3635196  0.0749418    18.194  < 2e-16 ***
ORIG_ID695     2.8865918  0.0736063    39.217  < 2e-16 ***
ORIG_ID700     1.2686103  0.0827224    15.336  < 2e-16 ***
ORIG_ID710    -1.2149497  0.0845278   -14.373  < 2e-16 ***
ORIG_ID711     1.6948855  0.0736422    23.015  < 2e-16 ***
ORIG_ID712     1.0815901  0.0741732    14.582  < 2e-16 ***
ORIG_ID713     1.6981182  0.0745748    22.771  < 2e-16 ***
ORIG_ID714     2.0319570  0.0740535    27.439  < 2e-16 ***
ORIG_ID715     0.7039227  0.0759035     9.274  < 2e-16 ***
ORIG_ID727    -0.5256543  0.0957152    -5.492 3.98e-08 ***
ORIG_ID728     2.5540047  0.0736570    34.674  < 2e-16 ***
ORIG_ID729     2.7944298  0.0733934    38.075  < 2e-16 ***
ORIG_ID730     1.8586089  0.0736308    25.242  < 2e-16 ***
ORIG_ID731     2.6119925  0.0736788    35.451  < 2e-16 ***
ORIG_ID732     0.6460573  0.0775607     8.330  < 2e-16 ***
ORIG_ID733     2.4856883  0.0735063    33.816  < 2e-16 ***
ORIG_ID734     1.6987103  0.0740606    22.937  < 2e-16 ***
ORIG_ID738     0.9863047  0.0821937    12.000  < 2e-16 ***
ORIG_ID746     0.4843753  0.0840333     5.764 8.21e-09 ***
ORIG_ID748    -0.2037905  0.0767205    -2.656 0.007901 ** 
ORIG_ID749     1.9953843  0.0735850    27.117  < 2e-16 ***
ORIG_ID750     2.2216951  0.0735005    30.227  < 2e-16 ***
ORIG_ID751     2.0248051  0.0737888    27.441  < 2e-16 ***
ORIG_ID752     1.7992195  0.0740697    24.291  < 2e-16 ***
ORIG_ID753     3.5917471  0.0733415    48.973  < 2e-16 ***
ORIG_ID754     2.9430636  0.0736472    39.962  < 2e-16 ***
ORIG_ID757    -0.4428214  0.1066996    -4.150 3.32e-05 ***
ORIG_ID764    -0.4735174  0.1091532    -4.338 1.44e-05 ***
ORIG_ID766     1.7688909  0.0738735    23.945  < 2e-16 ***
ORIG_ID767     1.7231164  0.0738277    23.340  < 2e-16 ***
ORIG_ID768     1.5963508  0.0737679    21.640  < 2e-16 ***
ORIG_ID769     0.7244027  0.0746209     9.708  < 2e-16 ***
ORIG_ID770     2.0249548  0.0736861    27.481  < 2e-16 ***
ORIG_ID771     2.1318486  0.0735864    28.971  < 2e-16 ***
ORIG_ID772     1.6018850  0.0740420    21.635  < 2e-16 ***
ORIG_ID773     3.4602761  0.0736638    46.974  < 2e-16 ***
ORIG_ID774     0.1584474  0.0921301     1.720 0.085465 .  
ORIG_ID775    -0.8304050  0.1092086    -7.604 2.87e-14 ***
ORIG_ID776     1.1744626  0.0802304    14.639  < 2e-16 ***
ORIG_ID78     -0.5761583  0.1010028    -5.704 1.17e-08 ***
ORIG_ID784     1.1511552  0.0783826    14.686  < 2e-16 ***
ORIG_ID785     0.8350763  0.0752744    11.094  < 2e-16 ***
ORIG_ID786     0.8655016  0.0751577    11.516  < 2e-16 ***
ORIG_ID787     2.1516096  0.0742861    28.964  < 2e-16 ***
ORIG_ID788     3.0348997  0.0733478    41.377  < 2e-16 ***
ORIG_ID789     2.8733227  0.0737015    38.986  < 2e-16 ***
ORIG_ID79      1.6002682  0.1374452    11.643  < 2e-16 ***
ORIG_ID790     0.2676489  0.0761563     3.514 0.000441 ***
ORIG_ID791     0.7145296  0.0750799     9.517  < 2e-16 ***
ORIG_ID792     0.5461314  0.0752312     7.259 3.89e-13 ***
ORIG_ID793    -0.7555855  0.1116991    -6.764 1.34e-11 ***
ORIG_ID794    -1.2247180  0.1045633   -11.713  < 2e-16 ***
ORIG_ID795     0.9155356  0.0788512    11.611  < 2e-16 ***
ORIG_ID80      2.2650934  0.0733091    30.898  < 2e-16 ***
ORIG_ID803     0.5189051  0.0765164     6.782 1.19e-11 ***
ORIG_ID804     1.0618144  0.0745772    14.238  < 2e-16 ***
ORIG_ID805    -1.0465742  0.0884791   -11.828  < 2e-16 ***
ORIG_ID806     2.3446779  0.0735059    31.898  < 2e-16 ***
ORIG_ID807     1.0102596  0.0758539    13.318  < 2e-16 ***
ORIG_ID809     2.2164690  0.0735351    30.142  < 2e-16 ***
ORIG_ID81     -0.2174129  0.1782906    -1.219 0.222681    
ORIG_ID810    -0.0531908  0.0772318    -0.689 0.491002    
ORIG_ID811     0.3752646  0.0781965     4.799 1.59e-06 ***
ORIG_ID812    -0.9657760  0.0918125   -10.519  < 2e-16 ***
ORIG_ID813    -1.1233601  0.0910133   -12.343  < 2e-16 ***
ORIG_ID814     0.3980470  0.0835621     4.763 1.90e-06 ***
ORIG_ID82      0.6649726  0.1297146     5.126 2.95e-07 ***
ORIG_ID822     1.3942210  0.0775907    17.969  < 2e-16 ***
ORIG_ID823     1.3987226  0.0738749    18.934  < 2e-16 ***
ORIG_ID824    -1.3531573  0.0888163   -15.235  < 2e-16 ***
ORIG_ID825     1.4758160  0.0742039    19.889  < 2e-16 ***
ORIG_ID826     2.2066112  0.0735652    29.995  < 2e-16 ***
ORIG_ID829     1.9306896  0.0736518    26.214  < 2e-16 ***
ORIG_ID831     2.3180121  0.0740103    31.320  < 2e-16 ***
ORIG_ID832    -0.6782895  0.0833796    -8.135 4.12e-16 ***
ORIG_ID833     0.1087448  0.0778533     1.397 0.162476    
ORIG_ID840     0.7755299  0.0761632    10.182  < 2e-16 ***
ORIG_ID841     1.6302822  0.0737499    22.106  < 2e-16 ***
ORIG_ID842     2.8176963  0.0733633    38.407  < 2e-16 ***
ORIG_ID843    -0.6192905  0.0831085    -7.452 9.22e-14 ***
ORIG_ID844    -0.0538703  0.0835370    -0.645 0.519013    
ORIG_ID845     1.7560112  0.0740586    23.711  < 2e-16 ***
ORIG_ID846    -1.1374422  0.0859730   -13.230  < 2e-16 ***
ORIG_ID847     3.5078198  0.0733236    47.840  < 2e-16 ***
ORIG_ID850    -2.7463004  0.2979719    -9.217  < 2e-16 ***
ORIG_ID851     3.3513058  0.0735327    45.576  < 2e-16 ***
ORIG_ID852    -2.3433334  0.1177501   -19.901  < 2e-16 ***
ORIG_ID859     0.8690604  0.0755011    11.511  < 2e-16 ***
ORIG_ID860     2.7792620  0.0735264    37.799  < 2e-16 ***
ORIG_ID861     3.1800688  0.0733384    43.362  < 2e-16 ***
ORIG_ID862     0.1675269  0.0790816     2.118 0.034141 *  
ORIG_ID863     1.0658038  0.0752548    14.163  < 2e-16 ***
ORIG_ID864    -0.5002811  0.0796563    -6.280 3.37e-10 ***
ORIG_ID865     2.1590160  0.0737203    29.287  < 2e-16 ***
ORIG_ID866    -0.0465658  0.0764305    -0.609 0.542354    
ORIG_ID867     1.9702243  0.0738500    26.679  < 2e-16 ***
ORIG_ID869    -0.0554823  0.0949795    -0.584 0.559119    
ORIG_ID871    -1.1396444  0.0844766   -13.491  < 2e-16 ***
ORIG_ID878     1.4032937  0.0741158    18.934  < 2e-16 ***
ORIG_ID879     2.0353663  0.0735182    27.685  < 2e-16 ***
ORIG_ID880     1.8037963  0.0736769    24.483  < 2e-16 ***
ORIG_ID882     1.2927778  0.0744507    17.364  < 2e-16 ***
ORIG_ID883     0.6360937  0.0754878     8.426  < 2e-16 ***
ORIG_ID884     0.3885466  0.0758348     5.124 3.00e-07 ***
ORIG_ID885     2.2966690  0.0735305    31.234  < 2e-16 ***
ORIG_ID886     1.9265801  0.0743590    25.909  < 2e-16 ***
ORIG_ID890    -0.6913383  0.0786810    -8.787  < 2e-16 ***
ORIG_ID891     3.7614707  0.0736217    51.092  < 2e-16 ***
ORIG_ID897     1.5518055  0.0742643    20.896  < 2e-16 ***
ORIG_ID898     1.6395887  0.0739569    22.170  < 2e-16 ***
ORIG_ID899     0.6407421  0.0745761     8.592  < 2e-16 ***
ORIG_ID900     0.4761161  0.0755195     6.305 2.89e-10 ***
ORIG_ID901     2.3364319  0.0736221    31.735  < 2e-16 ***
ORIG_ID902     1.1147288  0.0746603    14.931  < 2e-16 ***
ORIG_ID903    -0.1200305  0.0858529    -1.398 0.162084    
ORIG_ID904     2.5762207  0.0735516    35.026  < 2e-16 ***
ORIG_ID905     2.2782338  0.0738537    30.848  < 2e-16 ***
ORIG_ID907     0.2411642  0.0853465     2.826 0.004718 ** 
ORIG_ID909     2.5724281  0.0735353    34.982  < 2e-16 ***
ORIG_ID910     2.5943680  0.0735520    35.273  < 2e-16 ***
ORIG_ID915     0.1665227  0.0801692     2.077 0.037789 *  
ORIG_ID916     1.0855209  0.0764634    14.197  < 2e-16 ***
ORIG_ID917     0.6897887  0.0753958     9.149  < 2e-16 ***
ORIG_ID918     0.6725844  0.0752600     8.937  < 2e-16 ***
ORIG_ID919    -0.2235520  0.0782913    -2.855 0.004298 ** 
ORIG_ID920     2.2618559  0.0736855    30.696  < 2e-16 ***
ORIG_ID922     1.2760271  0.0755413    16.892  < 2e-16 ***
ORIG_ID923     2.9726229  0.0736188    40.379  < 2e-16 ***
ORIG_ID927     1.1476092  0.0753045    15.240  < 2e-16 ***
ORIG_ID928     2.1591085  0.0737301    29.284  < 2e-16 ***
ORIG_ID929    -0.9401177  0.0869324   -10.814  < 2e-16 ***
ORIG_ID935     1.1604127  0.0747284    15.528  < 2e-16 ***
ORIG_ID936     1.5475276  0.0740774    20.891  < 2e-16 ***
ORIG_ID937     1.7527254  0.0738904    23.721  < 2e-16 ***
ORIG_ID938     0.8667040  0.0749703    11.561  < 2e-16 ***
ORIG_ID939     1.6247441  0.0738392    22.004  < 2e-16 ***
ORIG_ID945     1.8747858  0.0759961    24.670  < 2e-16 ***
ORIG_ID947     2.1638147  0.0736047    29.398  < 2e-16 ***
ORIG_ID948     1.9286427  0.0737809    26.140  < 2e-16 ***
ORIG_ID953     1.6296495  0.0742393    21.951  < 2e-16 ***
ORIG_ID954     0.7802543  0.0751274    10.386  < 2e-16 ***
ORIG_ID955     1.9374051  0.0737800    26.259  < 2e-16 ***
ORIG_ID956     1.2066578  0.0745454    16.187  < 2e-16 ***
ORIG_ID964    -0.6079583  0.1581151    -3.845 0.000121 ***
ORIG_ID966     2.3311172  0.0735704    31.686  < 2e-16 ***
ORIG_ID967     1.5101888  0.0748502    20.176  < 2e-16 ***
ORIG_ID972     1.5249375  0.0743773    20.503  < 2e-16 ***
ORIG_ID973    -0.3132950  0.0799757    -3.917 8.95e-05 ***
ORIG_ID974     0.8010667  0.0746963    10.724  < 2e-16 ***
ORIG_ID975     0.8958214  0.0751090    11.927  < 2e-16 ***
ORIG_ID977     1.7156346  0.0739479    23.201  < 2e-16 ***
ORIG_ID983    -1.7451914  0.1267300   -13.771  < 2e-16 ***
ORIG_ID985     1.3906369  0.0741224    18.761  < 2e-16 ***
ORIG_ID986     0.0917987  0.0761777     1.205 0.228180    
ORIG_ID99      0.4800481  0.1065132     4.507 6.58e-06 ***
ORIG_ID990    -0.8798370  0.1089763    -8.074 6.82e-16 ***
ORIG_ID991    -0.3786281  0.0912016    -4.152 3.30e-05 ***
ORIG_ID992     0.6164995  0.0860509     7.164 7.82e-13 ***
ORIG_ID993     2.6009658  0.0734640    35.405  < 2e-16 ***
ORIG_ID994     0.1299505  0.0790228     1.644 0.100079    
ORIG_ID995     1.6185563  0.0740092    21.870  < 2e-16 ***
DESTIN_ID1001  5.8501662  0.2909254    20.109  < 2e-16 ***
DESTIN_ID1002  1.2170247  0.3166293     3.844 0.000121 ***
DESTIN_ID1003  4.4667747  0.2908740    15.356  < 2e-16 ***
DESTIN_ID1004  7.0682976  0.2903873    24.341  < 2e-16 ***
DESTIN_ID1005  3.5750041  0.2913193    12.272  < 2e-16 ***
DESTIN_ID101   6.0015003  0.2900185    20.694  < 2e-16 ***
DESTIN_ID1010  3.7806127  0.2911355    12.986  < 2e-16 ***
DESTIN_ID1011  3.4905786  0.2915705    11.972  < 2e-16 ***
DESTIN_ID1012  3.5824701  0.2912385    12.301  < 2e-16 ***
DESTIN_ID1013  4.2001651  0.2907086    14.448  < 2e-16 ***
DESTIN_ID1014  3.7497453  0.2912419    12.875  < 2e-16 ***
DESTIN_ID102  -0.7257838  0.3505059    -2.071 0.038389 *  
DESTIN_ID1023  4.8262524  0.2905310    16.612  < 2e-16 ***
DESTIN_ID1024  4.7719315  0.2905055    16.426  < 2e-16 ***
DESTIN_ID1025  4.9680174  0.2907480    17.087  < 2e-16 ***
DESTIN_ID1028  3.5198747  0.2914158    12.079  < 2e-16 ***
DESTIN_ID1030  2.7898739  0.2933744     9.510  < 2e-16 ***
DESTIN_ID1031  5.0161319  0.2904778    17.269  < 2e-16 ***
DESTIN_ID1033  4.4899385  0.2906204    15.449  < 2e-16 ***
DESTIN_ID1040  1.4404841  0.3125775     4.608 4.06e-06 ***
DESTIN_ID1041  3.5392632  0.2916580    12.135  < 2e-16 ***
DESTIN_ID1042  4.9366325  0.2904680    16.995  < 2e-16 ***
DESTIN_ID1043  4.0020631  0.2907817    13.763  < 2e-16 ***
DESTIN_ID1048  3.3975672  0.2911973    11.668  < 2e-16 ***
DESTIN_ID1049  4.6358849  0.2905484    15.956  < 2e-16 ***
DESTIN_ID1050  5.5680319  0.2904322    19.172  < 2e-16 ***
DESTIN_ID1061  5.4222756  0.2904982    18.665  < 2e-16 ***
DESTIN_ID1062  6.0259597  0.2904242    20.749  < 2e-16 ***
DESTIN_ID1063  3.0641775  0.2917313    10.503  < 2e-16 ***
DESTIN_ID1066  4.5679684  0.2906158    15.718  < 2e-16 ***
DESTIN_ID1067  5.2179949  0.2904644    17.964  < 2e-16 ***
DESTIN_ID1068  5.4000778  0.2904418    18.593  < 2e-16 ***
DESTIN_ID1069  4.3998966  0.2905897    15.141  < 2e-16 ***
DESTIN_ID1071  3.4464468  0.2912670    11.833  < 2e-16 ***
DESTIN_ID1078  3.6794996  0.2941918    12.507  < 2e-16 ***
DESTIN_ID1080  4.7765423  0.2905572    16.439  < 2e-16 ***
DESTIN_ID1081  4.3486446  0.2906505    14.962  < 2e-16 ***
DESTIN_ID1082  2.9038823  0.2924967     9.928  < 2e-16 ***
DESTIN_ID1086  4.4246037  0.2906518    15.223  < 2e-16 ***
DESTIN_ID1087  5.0235999  0.2904945    17.293  < 2e-16 ***
DESTIN_ID1089  4.6196497  0.2905951    15.897  < 2e-16 ***
DESTIN_ID1090  3.9589810  0.2908319    13.613  < 2e-16 ***
DESTIN_ID1097  1.3024575  0.3668561     3.550 0.000385 ***
DESTIN_ID1100  4.9185950  0.2905305    16.930  < 2e-16 ***
DESTIN_ID1101  0.3516404  0.3249791     1.082 0.279235    
DESTIN_ID1102  2.6333917  0.2948262     8.932  < 2e-16 ***
DESTIN_ID1104  5.1641291  0.2904888    17.777  < 2e-16 ***
DESTIN_ID1105  5.0890999  0.2904661    17.520  < 2e-16 ***
DESTIN_ID1106  4.5142410  0.2909024    15.518  < 2e-16 ***
DESTIN_ID1107  4.1026829  0.2907879    14.109  < 2e-16 ***
DESTIN_ID1108  4.2548578  0.2906991    14.637  < 2e-16 ***
DESTIN_ID1115  2.4173309  0.2989852     8.085 6.21e-16 ***
DESTIN_ID1116  3.0835512  0.2982783    10.338  < 2e-16 ***
DESTIN_ID1119  2.4830495  0.2920935     8.501  < 2e-16 ***
DESTIN_ID1120  3.5630331  0.2913648    12.229  < 2e-16 ***
DESTIN_ID1123  3.7096207  0.2909118    12.752  < 2e-16 ***
DESTIN_ID1124  4.4295346  0.2906058    15.242  < 2e-16 ***
DESTIN_ID1125  5.0666026  0.2904756    17.442  < 2e-16 ***
DESTIN_ID1128  4.7275215  0.2905624    16.270  < 2e-16 ***
DESTIN_ID1138  3.7098627  0.2909120    12.753  < 2e-16 ***
DESTIN_ID1139  4.4182391  0.2907592    15.196  < 2e-16 ***
DESTIN_ID1140  3.6426136  0.2916040    12.492  < 2e-16 ***
DESTIN_ID1142  3.4219002  0.2910851    11.756  < 2e-16 ***
DESTIN_ID1143  5.3604143  0.2904314    18.457  < 2e-16 ***
DESTIN_ID1144  4.0132931  0.2908533    13.798  < 2e-16 ***
DESTIN_ID1145  4.0956895  0.2908607    14.081  < 2e-16 ***
DESTIN_ID1146  4.3919217  0.2907002    15.108  < 2e-16 ***
DESTIN_ID1147  3.8029512  0.2912936    13.055  < 2e-16 ***
DESTIN_ID1152  0.7161443  0.3326829     2.153 0.031348 *  
DESTIN_ID1153  3.9811819  0.2910759    13.677  < 2e-16 ***
DESTIN_ID1157  5.4149194  0.2904659    18.642  < 2e-16 ***
DESTIN_ID1158  3.0629977  0.2914928    10.508  < 2e-16 ***
DESTIN_ID116   5.9172922  0.2911423    20.324  < 2e-16 ***
DESTIN_ID1161  6.7190323  0.2903924    23.138  < 2e-16 ***
DESTIN_ID1162  5.0984061  0.2904735    17.552  < 2e-16 ***
DESTIN_ID1163  5.5901829  0.2904303    19.248  < 2e-16 ***
DESTIN_ID1164  3.7354395  0.2911404    12.830  < 2e-16 ***
DESTIN_ID1167  2.4501465  0.2968989     8.252  < 2e-16 ***
DESTIN_ID117  -2.0674275  0.4301235    -4.807 1.54e-06 ***
DESTIN_ID1171  1.6977409  0.3025249     5.612 2.00e-08 ***
DESTIN_ID1172  5.1863076  0.2906347    17.845  < 2e-16 ***
DESTIN_ID1173  3.4689738  0.2916482    11.894  < 2e-16 ***
DESTIN_ID1176  4.2042855  0.2906758    14.464  < 2e-16 ***
DESTIN_ID1177  4.8367221  0.2905977    16.644  < 2e-16 ***
DESTIN_ID118   0.9370284  0.3137619     2.986 0.002823 ** 
DESTIN_ID1180  5.3680953  0.2904644    18.481  < 2e-16 ***
DESTIN_ID1181  5.0616151  0.2904487    17.427  < 2e-16 ***
DESTIN_ID1183  3.7389005  0.2921554    12.798  < 2e-16 ***
DESTIN_ID1184  4.8524470  0.2905290    16.702  < 2e-16 ***
DESTIN_ID1186  1.2840564  0.3249518     3.952 7.77e-05 ***
DESTIN_ID119   1.9067542  0.3061928     6.227 4.75e-10 ***
DESTIN_ID1192  2.2453021  0.2938222     7.642 2.14e-14 ***
DESTIN_ID1193  2.9284172  0.2914145    10.049  < 2e-16 ***
DESTIN_ID1194  2.4609797  0.2922856     8.420  < 2e-16 ***
DESTIN_ID1195  5.8973781  0.2904345    20.305  < 2e-16 ***
DESTIN_ID1196  3.5532215  0.2914460    12.192  < 2e-16 ***
DESTIN_ID1198  5.6913883  0.2910386    19.555  < 2e-16 ***
DESTIN_ID1199  3.2797672  0.2911990    11.263  < 2e-16 ***
DESTIN_ID120   2.0840180  0.3030439     6.877 6.11e-12 ***
DESTIN_ID1200  5.0142205  0.2904689    17.263  < 2e-16 ***
DESTIN_ID1201  4.9072154  0.2904812    16.893  < 2e-16 ***
DESTIN_ID1202  4.3421129  0.2905989    14.942  < 2e-16 ***
DESTIN_ID1203  4.3888102  0.2907597    15.094  < 2e-16 ***
DESTIN_ID1204  5.3303004  0.2906343    18.340  < 2e-16 ***
DESTIN_ID1205  0.3453731  0.3700682     0.933 0.350681    
DESTIN_ID1207  3.6969050  0.2912406    12.694  < 2e-16 ***
DESTIN_ID1208  3.9599487  0.2910949    13.604  < 2e-16 ***
DESTIN_ID1209  3.7003948  0.2914091    12.698  < 2e-16 ***
DESTIN_ID121   0.9868337  0.3065557     3.219 0.001286 ** 
DESTIN_ID1210  1.8191421  0.3122120     5.827 5.66e-09 ***
DESTIN_ID1211  2.7682741  0.2932026     9.442  < 2e-16 ***
DESTIN_ID1212  0.4588603  0.3053676     1.503 0.132930    
DESTIN_ID1213  5.7400101  0.2904311    19.764  < 2e-16 ***
DESTIN_ID1214  5.0333693  0.2905441    17.324  < 2e-16 ***
DESTIN_ID1215  0.8531310  0.3701081     2.305 0.021162 *  
DESTIN_ID1218  4.4331458  0.2906989    15.250  < 2e-16 ***
DESTIN_ID1219  6.2020438  0.2904059    21.356  < 2e-16 ***
DESTIN_ID122   5.1237866  0.2904936    17.638  < 2e-16 ***
DESTIN_ID1220  4.9929748  0.2904789    17.189  < 2e-16 ***
DESTIN_ID1221  5.6610785  0.2904502    19.491  < 2e-16 ***
DESTIN_ID1222  3.5709008  0.2914325    12.253  < 2e-16 ***
DESTIN_ID1225  5.1738433  0.2904984    17.810  < 2e-16 ***
DESTIN_ID1226  3.0758405  0.2915599    10.550  < 2e-16 ***
DESTIN_ID1227  4.1371954  0.2908293    14.226  < 2e-16 ***
DESTIN_ID1229  2.5495427  0.2950015     8.642  < 2e-16 ***
DESTIN_ID1230  5.7164579  0.2904459    19.682  < 2e-16 ***
DESTIN_ID1231  4.3606380  0.2905548    15.008  < 2e-16 ***
DESTIN_ID1232  3.9397241  0.2906597    13.554  < 2e-16 ***
DESTIN_ID1233  5.2190643  0.2905269    17.964  < 2e-16 ***
DESTIN_ID1234  1.4889369  0.3158032     4.715 2.42e-06 ***
DESTIN_ID1238  4.0873354  0.2906550    14.062  < 2e-16 ***
DESTIN_ID1239  3.9938427  0.2906572    13.741  < 2e-16 ***
DESTIN_ID1240  6.2730792  0.2903909    21.602  < 2e-16 ***
DESTIN_ID1241  4.1937232  0.2907094    14.426  < 2e-16 ***
DESTIN_ID1242  2.9536641  0.2918606    10.120  < 2e-16 ***
DESTIN_ID1243  2.2720445  0.2939477     7.729 1.08e-14 ***
DESTIN_ID1244  3.6664372  0.2908991    12.604  < 2e-16 ***
DESTIN_ID1245  5.0277751  0.2905970    17.302  < 2e-16 ***
DESTIN_ID1246  3.4813803  0.2916606    11.936  < 2e-16 ***
DESTIN_ID1249  2.6632095  0.2939931     9.059  < 2e-16 ***
DESTIN_ID1250  5.8649006  0.2904192    20.195  < 2e-16 ***
DESTIN_ID1251  6.2383774  0.2904036    21.482  < 2e-16 ***
DESTIN_ID1252  5.2127833  0.2905089    17.944  < 2e-16 ***
DESTIN_ID1253  2.7362410  0.2923965     9.358  < 2e-16 ***
DESTIN_ID1256  4.6468548  0.2905410    15.994  < 2e-16 ***
DESTIN_ID1257  4.2289257  0.2905896    14.553  < 2e-16 ***
DESTIN_ID1258  4.6999006  0.2905186    16.178  < 2e-16 ***
DESTIN_ID1259  5.1276617  0.2904782    17.652  < 2e-16 ***
DESTIN_ID1260  3.9203881  0.2926294    13.397  < 2e-16 ***
DESTIN_ID1261  2.7573423  0.2919986     9.443  < 2e-16 ***
DESTIN_ID1262  4.9255438  0.2904990    16.955  < 2e-16 ***
DESTIN_ID1263  4.7867347  0.2905102    16.477  < 2e-16 ***
DESTIN_ID1264  5.1427701  0.2904855    17.704  < 2e-16 ***
DESTIN_ID1265  4.9108409  0.2905246    16.903  < 2e-16 ***
DESTIN_ID1266  3.8891284  0.2913123    13.350  < 2e-16 ***
DESTIN_ID1268  4.2544749  0.2907208    14.634  < 2e-16 ***
DESTIN_ID1269  5.4444348  0.2904237    18.747  < 2e-16 ***
DESTIN_ID1270  4.5846899  0.2905275    15.781  < 2e-16 ***
DESTIN_ID1272  5.4687172  0.2911045    18.786  < 2e-16 ***
DESTIN_ID1276  5.4361612  0.2904316    18.718  < 2e-16 ***
DESTIN_ID1277  4.3335771  0.2906091    14.912  < 2e-16 ***
DESTIN_ID1278  5.9756883  0.2904006    20.577  < 2e-16 ***
DESTIN_ID1279  4.9537022  0.2904894    17.053  < 2e-16 ***
DESTIN_ID1280  4.1896007  0.2906023    14.417  < 2e-16 ***
DESTIN_ID1281  4.1419693  0.2906538    14.251  < 2e-16 ***
DESTIN_ID1282  4.2154056  0.2906418    14.504  < 2e-16 ***
DESTIN_ID1283  4.1291324  0.2906087    14.209  < 2e-16 ***
DESTIN_ID1284  4.8177460  0.2905097    16.584  < 2e-16 ***
DESTIN_ID1285  4.3016081  0.2906914    14.798  < 2e-16 ***
DESTIN_ID1288  4.4172335  0.2905640    15.202  < 2e-16 ***
DESTIN_ID1289  4.8810010  0.2905039    16.802  < 2e-16 ***
DESTIN_ID1294  4.9406125  0.2905592    17.004  < 2e-16 ***
DESTIN_ID1295  6.5470249  0.2903880    22.546  < 2e-16 ***
DESTIN_ID1296  5.5747568  0.2904159    19.196  < 2e-16 ***
DESTIN_ID1297  3.3647524  0.2915257    11.542  < 2e-16 ***
DESTIN_ID1298  5.4558936  0.2904379    18.785  < 2e-16 ***
DESTIN_ID1299  4.8837311  0.2904683    16.813  < 2e-16 ***
DESTIN_ID1300  2.4541023  0.2923534     8.394  < 2e-16 ***
DESTIN_ID1301  5.0784863  0.2904670    17.484  < 2e-16 ***
DESTIN_ID1302  5.5066223  0.2904162    18.961  < 2e-16 ***
DESTIN_ID1303  5.6015529  0.2904342    19.287  < 2e-16 ***
DESTIN_ID1304  2.7647277  0.2927502     9.444  < 2e-16 ***
DESTIN_ID1306  3.7000150  0.2909888    12.715  < 2e-16 ***
DESTIN_ID1307  4.7594081  0.2905205    16.382  < 2e-16 ***
DESTIN_ID1308  3.9704840  0.2910080    13.644  < 2e-16 ***
DESTIN_ID1314  4.9346638  0.2904905    16.987  < 2e-16 ***
DESTIN_ID1315  5.1878952  0.2904475    17.862  < 2e-16 ***
DESTIN_ID1316  4.4220666  0.2906432    15.215  < 2e-16 ***
DESTIN_ID1317  3.9901500  0.2907492    13.724  < 2e-16 ***
DESTIN_ID1318  4.9191346  0.2904895    16.934  < 2e-16 ***
DESTIN_ID1319  5.5106309  0.2904457    18.973  < 2e-16 ***
DESTIN_ID1320  6.3401994  0.2903928    21.833  < 2e-16 ***
DESTIN_ID1321  4.3872881  0.2905274    15.101  < 2e-16 ***
DESTIN_ID1322  5.1287427  0.2904466    17.658  < 2e-16 ***
DESTIN_ID1323  3.4988248  0.2912898    12.011  < 2e-16 ***
DESTIN_ID1326  4.8774882  0.2905350    16.788  < 2e-16 ***
DESTIN_ID1327  4.2819800  0.2906953    14.730  < 2e-16 ***
DESTIN_ID1332  3.8579756  0.2910459    13.256  < 2e-16 ***
DESTIN_ID1333  4.5232895  0.2905519    15.568  < 2e-16 ***
DESTIN_ID1334  5.7501565  0.2904031    19.801  < 2e-16 ***
DESTIN_ID1335  5.7579593  0.2904093    19.827  < 2e-16 ***
DESTIN_ID1336  4.4875642  0.2905507    15.445  < 2e-16 ***
DESTIN_ID1337  6.5006292  0.2903820    22.386  < 2e-16 ***
DESTIN_ID1338  4.0904900  0.2905903    14.076  < 2e-16 ***
DESTIN_ID1339  4.0732963  0.2905830    14.018  < 2e-16 ***
DESTIN_ID1340  6.3723302  0.2903879    21.944  < 2e-16 ***
DESTIN_ID1341  3.1320385  0.2913450    10.750  < 2e-16 ***
DESTIN_ID1342  3.3768274  0.2917572    11.574  < 2e-16 ***
DESTIN_ID1345  3.7026102  0.2909220    12.727  < 2e-16 ***
DESTIN_ID1352  3.8782693  0.2908625    13.334  < 2e-16 ***
DESTIN_ID1353  5.0341421  0.2904617    17.332  < 2e-16 ***
DESTIN_ID1354  6.1659417  0.2903904    21.233  < 2e-16 ***
DESTIN_ID1355  5.1616269  0.2904588    17.771  < 2e-16 ***
DESTIN_ID1356  4.9023543  0.2904802    16.877  < 2e-16 ***
DESTIN_ID1357  5.1808755  0.2904327    17.838  < 2e-16 ***
DESTIN_ID1358  4.9645222  0.2905590    17.086  < 2e-16 ***
DESTIN_ID1359  5.0448305  0.2904481    17.369  < 2e-16 ***
DESTIN_ID136   4.1638067  0.2974839    13.997  < 2e-16 ***
DESTIN_ID1360  4.8499266  0.2904843    16.696  < 2e-16 ***
DESTIN_ID1364  1.6258309  0.3483773     4.667 3.06e-06 ***
DESTIN_ID137   0.8058904  0.3279109     2.458 0.013985 *  
DESTIN_ID1370 -0.7531239  1.0432525    -0.722 0.470356    
DESTIN_ID1371  4.2569593  0.2917953    14.589  < 2e-16 ***
DESTIN_ID1372  5.7843532  0.2904063    19.918  < 2e-16 ***
DESTIN_ID1373  5.5492163  0.2904485    19.106  < 2e-16 ***
DESTIN_ID1374  4.5874702  0.2905282    15.790  < 2e-16 ***
DESTIN_ID1375  5.0207105  0.2905211    17.282  < 2e-16 ***
DESTIN_ID1376  4.4793211  0.2905298    15.418  < 2e-16 ***
DESTIN_ID1377  2.4948504  0.2918308     8.549  < 2e-16 ***
DESTIN_ID1378  5.3889202  0.2904359    18.555  < 2e-16 ***
DESTIN_ID1379  4.0247438  0.2911471    13.824  < 2e-16 ***
DESTIN_ID138   2.8626290  0.3193364     8.964  < 2e-16 ***
DESTIN_ID1380  4.2254285  0.2909415    14.523  < 2e-16 ***
DESTIN_ID1383  2.8976956  0.2925571     9.905  < 2e-16 ***
DESTIN_ID1389  4.6775788  0.2963652    15.783  < 2e-16 ***
DESTIN_ID139   3.1214232  0.3024186    10.322  < 2e-16 ***
DESTIN_ID1390  4.3244680  0.2911993    14.851  < 2e-16 ***
DESTIN_ID1391  5.1132948  0.2904815    17.603  < 2e-16 ***
DESTIN_ID1392  5.4476141  0.2904249    18.757  < 2e-16 ***
DESTIN_ID1393  4.9621275  0.2904523    17.084  < 2e-16 ***
DESTIN_ID1394  4.8659629  0.2904637    16.752  < 2e-16 ***
DESTIN_ID1395  5.5189739  0.2905633    18.994  < 2e-16 ***
DESTIN_ID1396  3.3956955  0.2914214    11.652  < 2e-16 ***
DESTIN_ID1397  3.7082808  0.2931740    12.649  < 2e-16 ***
DESTIN_ID1398  4.3020733  0.2907921    14.794  < 2e-16 ***
DESTIN_ID140   1.9667823  0.3070710     6.405 1.50e-10 ***
DESTIN_ID1401  1.8820099  0.3009597     6.253 4.02e-10 ***
DESTIN_ID1408  4.5604121  0.2944867    15.486  < 2e-16 ***
DESTIN_ID1409  5.1400139  0.2906589    17.684  < 2e-16 ***
DESTIN_ID141   3.4019746  0.2918200    11.658  < 2e-16 ***
DESTIN_ID1410  4.5905875  0.2914615    15.750  < 2e-16 ***
DESTIN_ID1411  5.4239009  0.2904265    18.676  < 2e-16 ***
DESTIN_ID1412  5.5903705  0.2904180    19.249  < 2e-16 ***
DESTIN_ID1413  4.8513878  0.2905394    16.698  < 2e-16 ***
DESTIN_ID1414  2.1966625  0.2928348     7.501 6.32e-14 ***
DESTIN_ID1415  4.0410074  0.2906391    13.904  < 2e-16 ***
DESTIN_ID1416  2.8481703  0.2914475     9.772  < 2e-16 ***
DESTIN_ID1417  3.0625161  0.2914084    10.509  < 2e-16 ***
DESTIN_ID1418  2.8310190  0.2922397     9.687  < 2e-16 ***
DESTIN_ID1419  0.4986276  0.3297322     1.512 0.130478    
DESTIN_ID142   2.4987204  0.3086094     8.097 5.65e-16 ***
DESTIN_ID1420  1.4833385  0.3053791     4.857 1.19e-06 ***
DESTIN_ID1428  4.7937973  0.2998767    15.986  < 2e-16 ***
DESTIN_ID1430  3.7731652  0.2910942    12.962  < 2e-16 ***
DESTIN_ID1431  2.8155129  0.2913483     9.664  < 2e-16 ***
DESTIN_ID1432  5.0737897  0.2904441    17.469  < 2e-16 ***
DESTIN_ID1433  3.9702751  0.2916960    13.611  < 2e-16 ***
DESTIN_ID1434  3.8497360  0.2908537    13.236  < 2e-16 ***
DESTIN_ID1435  4.9697377  0.2905299    17.106  < 2e-16 ***
DESTIN_ID1436  2.7867426  0.2915775     9.557  < 2e-16 ***
DESTIN_ID1439  2.8959991  0.2925865     9.898  < 2e-16 ***
DESTIN_ID1440  2.2591654  0.3007627     7.511 5.85e-14 ***
DESTIN_ID1448  5.1287448  0.2909572    17.627  < 2e-16 ***
DESTIN_ID1449  4.4678002  0.2905224    15.379  < 2e-16 ***
DESTIN_ID1450  4.8198667  0.2905132    16.591  < 2e-16 ***
DESTIN_ID1451  5.5530398  0.2904374    19.120  < 2e-16 ***
DESTIN_ID1452  3.9040531  0.2906707    13.431  < 2e-16 ***
DESTIN_ID1453  4.9566680  0.2904623    17.065  < 2e-16 ***
DESTIN_ID1454  4.8069936  0.2907314    16.534  < 2e-16 ***
DESTIN_ID1455  3.0154517  0.2911946    10.355  < 2e-16 ***
DESTIN_ID1456  5.1134721  0.2905033    17.602  < 2e-16 ***
DESTIN_ID1457  5.0508692  0.2905573    17.383  < 2e-16 ***
DESTIN_ID1458  2.3601665  0.3004137     7.856 3.95e-15 ***
DESTIN_ID1468  4.9986338  0.2909416    17.181  < 2e-16 ***
DESTIN_ID1469  5.4253252  0.2904222    18.681  < 2e-16 ***
DESTIN_ID1470  4.0332611  0.2906956    13.875  < 2e-16 ***
DESTIN_ID1471  5.2165374  0.2904647    17.959  < 2e-16 ***
DESTIN_ID1472  6.7071783  0.2903835    23.098  < 2e-16 ***
DESTIN_ID1473  3.8094985  0.2906737    13.106  < 2e-16 ***
DESTIN_ID1474  5.6000747  0.2904363    19.282  < 2e-16 ***
DESTIN_ID1475  3.8265876  0.2908305    13.157  < 2e-16 ***
DESTIN_ID1476  4.0486315  0.2907745    13.924  < 2e-16 ***
DESTIN_ID1477  1.1418093  0.3060588     3.731 0.000191 ***
DESTIN_ID1486  2.8792208  0.2933490     9.815  < 2e-16 ***
DESTIN_ID1487  5.0043853  0.2904712    17.229  < 2e-16 ***
DESTIN_ID1488  3.9450783  0.2908963    13.562  < 2e-16 ***
DESTIN_ID1489  4.4807752  0.2905559    15.421  < 2e-16 ***
DESTIN_ID1490  4.2108173  0.2907899    14.481  < 2e-16 ***
DESTIN_ID1491  4.6616012  0.2904821    16.048  < 2e-16 ***
DESTIN_ID1492  4.6071104  0.2904996    15.859  < 2e-16 ***
DESTIN_ID1493  4.8798111  0.2904750    16.799  < 2e-16 ***
DESTIN_ID1494  5.1471860  0.2905166    17.717  < 2e-16 ***
DESTIN_ID1506  1.5531083  0.3080356     5.042 4.61e-07 ***
DESTIN_ID1507  5.3734643  0.2904279    18.502  < 2e-16 ***
DESTIN_ID1508  4.2783582  0.2905617    14.724  < 2e-16 ***
DESTIN_ID1509  3.2368637  0.2933241    11.035  < 2e-16 ***
DESTIN_ID1510  4.8235986  0.2904848    16.605  < 2e-16 ***
DESTIN_ID1512  5.3214789  0.2904317    18.323  < 2e-16 ***
DESTIN_ID1513  5.4797065  0.2905975    18.857  < 2e-16 ***
DESTIN_ID1514  4.5949703  0.2906803    15.808  < 2e-16 ***
DESTIN_ID1524  3.9375460  0.2912149    13.521  < 2e-16 ***
DESTIN_ID1525  4.8465906  0.2904994    16.684  < 2e-16 ***
DESTIN_ID1526  4.6154185  0.2905131    15.887  < 2e-16 ***
DESTIN_ID1527  4.4645191  0.2907085    15.357  < 2e-16 ***
DESTIN_ID1528  3.6785703  0.2907730    12.651  < 2e-16 ***
DESTIN_ID1529  3.4768486  0.2908632    11.954  < 2e-16 ***
DESTIN_ID1530  3.7389468  0.2907640    12.859  < 2e-16 ***
DESTIN_ID1531  4.8451219  0.2904777    16.680  < 2e-16 ***
DESTIN_ID1532  3.9935088  0.2908524    13.730  < 2e-16 ***
DESTIN_ID1544  4.6527036  0.2905955    16.011  < 2e-16 ***
DESTIN_ID1545  4.4915343  0.2905115    15.461  < 2e-16 ***
DESTIN_ID1546  4.8728825  0.2904764    16.775  < 2e-16 ***
DESTIN_ID1547  4.4575137  0.2905616    15.341  < 2e-16 ***
DESTIN_ID1548  5.0035358  0.2904849    17.225  < 2e-16 ***
DESTIN_ID1549  5.9659656  0.2904112    20.543  < 2e-16 ***
DESTIN_ID1550  5.3702374  0.2904240    18.491  < 2e-16 ***
DESTIN_ID1551  3.2682838  0.2910570    11.229  < 2e-16 ***
DESTIN_ID1552  5.1154928  0.2905139    17.608  < 2e-16 ***
DESTIN_ID156   3.3708506  0.3269422    10.310  < 2e-16 ***
DESTIN_ID1562  0.9422309  0.3256933     2.893 0.003816 ** 
DESTIN_ID1563  4.9512242  0.2904958    17.044  < 2e-16 ***
DESTIN_ID1564  5.3121135  0.2904350    18.290  < 2e-16 ***
DESTIN_ID1565  4.5058316  0.2905244    15.509  < 2e-16 ***
DESTIN_ID1566  2.4689590  0.2928050     8.432  < 2e-16 ***
DESTIN_ID1567  4.7561095  0.2905034    16.372  < 2e-16 ***
DESTIN_ID1568  5.0631761  0.2904381    17.433  < 2e-16 ***
DESTIN_ID1569  4.5253475  0.2905052    15.578  < 2e-16 ***
DESTIN_ID1570  5.1451587  0.2904567    17.714  < 2e-16 ***
DESTIN_ID1571  5.5865395  0.2907866    19.212  < 2e-16 ***
DESTIN_ID158   2.2311338  0.3186669     7.001 2.53e-12 ***
DESTIN_ID1582  4.0400609  0.2907176    13.897  < 2e-16 ***
DESTIN_ID1583  5.8278565  0.2904019    20.068  < 2e-16 ***
DESTIN_ID1584  4.3428949  0.2905445    14.947  < 2e-16 ***
DESTIN_ID1585  3.2607992  0.2910845    11.202  < 2e-16 ***
DESTIN_ID1587  5.1581872  0.2904514    17.759  < 2e-16 ***
DESTIN_ID1588  6.2803172  0.2903904    21.627  < 2e-16 ***
DESTIN_ID1589  5.3136596  0.2904305    18.296  < 2e-16 ***
DESTIN_ID159   5.1740419  0.2905978    17.805  < 2e-16 ***
DESTIN_ID1590  4.6221223  0.2905127    15.910  < 2e-16 ***
DESTIN_ID1591  1.9333067  0.2967125     6.516 7.23e-11 ***
DESTIN_ID160   1.8953718  0.3000244     6.317 2.66e-10 ***
DESTIN_ID1600  1.8375752  0.3035482     6.054 1.42e-09 ***
DESTIN_ID1601  4.4635396  0.2905415    15.363  < 2e-16 ***
DESTIN_ID1602  4.6671895  0.2905053    16.066  < 2e-16 ***
DESTIN_ID1603  4.0971067  0.2907258    14.093  < 2e-16 ***
DESTIN_ID1604  5.4715299  0.2907866    18.816  < 2e-16 ***
DESTIN_ID1606  4.5848750  0.2905139    15.782  < 2e-16 ***
DESTIN_ID1607  4.2682606  0.2905570    14.690  < 2e-16 ***
DESTIN_ID1608  6.2398388  0.2903959    21.487  < 2e-16 ***
DESTIN_ID1609  4.8124013  0.2905195    16.565  < 2e-16 ***
DESTIN_ID1610  4.1391953  0.2917712    14.186  < 2e-16 ***
DESTIN_ID1620  5.6752824  0.2904368    19.541  < 2e-16 ***
DESTIN_ID1621  5.1935932  0.2904638    17.880  < 2e-16 ***
DESTIN_ID1622  4.6176885  0.2906613    15.887  < 2e-16 ***
DESTIN_ID1623  3.8011853  0.2907876    13.072  < 2e-16 ***
DESTIN_ID1624  1.0881262  0.3151615     3.453 0.000555 ***
DESTIN_ID1625  2.0501907  0.2954397     6.939 3.94e-12 ***
DESTIN_ID1626  4.9436225  0.2904865    17.018  < 2e-16 ***
DESTIN_ID1627  4.9965341  0.2904583    17.202  < 2e-16 ***
DESTIN_ID1628  4.9572629  0.2904661    17.067  < 2e-16 ***
DESTIN_ID1629  4.1302734  0.2907299    14.207  < 2e-16 ***
DESTIN_ID1630  4.0627175  0.2931962    13.857  < 2e-16 ***
DESTIN_ID1639  4.6496519  0.2905322    16.004  < 2e-16 ***
DESTIN_ID1640  5.7419158  0.2904072    19.772  < 2e-16 ***
DESTIN_ID1641  5.0270791  0.2904602    17.307  < 2e-16 ***
DESTIN_ID1645  4.7108646  0.2905599    16.213  < 2e-16 ***
DESTIN_ID1646  4.7069742  0.2904852    16.204  < 2e-16 ***
DESTIN_ID1647  6.2632038  0.2904009    21.567  < 2e-16 ***
DESTIN_ID1648  2.7965019  0.2927620     9.552  < 2e-16 ***
DESTIN_ID1658  6.1930753  0.2904092    21.325  < 2e-16 ***
DESTIN_ID1659  4.3651024  0.2905574    15.023  < 2e-16 ***
DESTIN_ID1660  4.4023834  0.2905349    15.153  < 2e-16 ***
DESTIN_ID1661  3.5596804  0.2909670    12.234  < 2e-16 ***
DESTIN_ID1663  1.5661358  0.3083358     5.079 3.79e-07 ***
DESTIN_ID1665  4.2654383  0.2906602    14.675  < 2e-16 ***
DESTIN_ID1666  5.9534372  0.2904103    20.500  < 2e-16 ***
DESTIN_ID1667  3.5758287  0.2914554    12.269  < 2e-16 ***
DESTIN_ID1668  5.7466723  0.2910093    19.747  < 2e-16 ***
DESTIN_ID1677  4.7024963  0.2905020    16.187  < 2e-16 ***
DESTIN_ID1678  4.9899924  0.2904717    17.179  < 2e-16 ***
DESTIN_ID1679  5.2167163  0.2904678    17.960  < 2e-16 ***
DESTIN_ID1682  2.2355043  0.3003325     7.443 9.81e-14 ***
DESTIN_ID1684  5.0565356  0.2910187    17.375  < 2e-16 ***
DESTIN_ID1685  4.6798683  0.2905351    16.108  < 2e-16 ***
DESTIN_ID1696  5.0776300  0.2905262    17.477  < 2e-16 ***
DESTIN_ID1697  3.0868048  0.2915858    10.586  < 2e-16 ***
DESTIN_ID1698  4.9756317  0.2912274    17.085  < 2e-16 ***
DESTIN_ID1699  4.8857500  0.2905074    16.818  < 2e-16 ***
DESTIN_ID1702  1.4254838  0.3217913     4.430 9.43e-06 ***
DESTIN_ID1704  4.9618403  0.2905081    17.080  < 2e-16 ***
DESTIN_ID1705  4.5790916  0.2911390    15.728  < 2e-16 ***
DESTIN_ID1715  4.6481606  0.2905426    15.998  < 2e-16 ***
DESTIN_ID1716  3.9950901  0.2906678    13.745  < 2e-16 ***
DESTIN_ID1717  3.6584124  0.2909281    12.575  < 2e-16 ***
DESTIN_ID1718  1.0956402  0.3102060     3.532 0.000412 ***
DESTIN_ID1721  1.6723561  0.3169322     5.277 1.32e-07 ***
DESTIN_ID1723  4.2202869  0.2909556    14.505  < 2e-16 ***
DESTIN_ID1734  2.7501674  0.2979855     9.229  < 2e-16 ***
DESTIN_ID1735  4.1003467  0.2906707    14.107  < 2e-16 ***
DESTIN_ID1736  5.0487800  0.2905343    17.378  < 2e-16 ***
DESTIN_ID1737  5.2853982  0.2904655    18.196  < 2e-16 ***
DESTIN_ID1740  2.5265236  0.2986987     8.458  < 2e-16 ***
DESTIN_ID1742  4.3123015  0.2909743    14.820  < 2e-16 ***
DESTIN_ID1753  4.5760667  0.2905947    15.747  < 2e-16 ***
DESTIN_ID1754  4.9881397  0.2904684    17.173  < 2e-16 ***
DESTIN_ID1755  5.1209376  0.2904921    17.628  < 2e-16 ***
DESTIN_ID1758  2.2332433  0.2997627     7.450 9.33e-14 ***
DESTIN_ID177   1.0482111  0.4204562     2.493 0.012666 *  
DESTIN_ID1772  1.5355997  0.3212522     4.780 1.75e-06 ***
DESTIN_ID1773  4.2804146  0.2906947    14.725  < 2e-16 ***
DESTIN_ID1774  6.8090763  0.2903829    23.449  < 2e-16 ***
DESTIN_ID1775  4.2728091  0.2906712    14.700  < 2e-16 ***
DESTIN_ID1776  4.9213498  0.2905152    16.940  < 2e-16 ***
DESTIN_ID1778  2.2589506  0.3055154     7.394 1.43e-13 ***
DESTIN_ID178   2.1839952  0.3003228     7.272 3.54e-13 ***
DESTIN_ID179   0.6308392  0.3431416     1.838 0.066000 .  
DESTIN_ID1791  4.4222325  0.2907006    15.212  < 2e-16 ***
DESTIN_ID1792  2.6712511  0.2914050     9.167  < 2e-16 ***
DESTIN_ID1793  4.7315586  0.2905173    16.287  < 2e-16 ***
DESTIN_ID1794  3.5263968  0.2913131    12.105  < 2e-16 ***
DESTIN_ID1795  4.9566584  0.2905106    17.062  < 2e-16 ***
DESTIN_ID1796  3.8430071  0.2908872    13.211  < 2e-16 ***
DESTIN_ID1797  4.3466687  0.2907000    14.952  < 2e-16 ***
DESTIN_ID1811  4.6286348  0.2905580    15.930  < 2e-16 ***
DESTIN_ID1812  5.0634974  0.2904456    17.434  < 2e-16 ***
DESTIN_ID1813  5.2004679  0.2904597    17.904  < 2e-16 ***
DESTIN_ID1814  5.5006366  0.2904522    18.938  < 2e-16 ***
DESTIN_ID1815  4.9180064  0.2905200    16.928  < 2e-16 ***
DESTIN_ID1816  5.3266752  0.2904929    18.337  < 2e-16 ***
DESTIN_ID1817  2.8001364  0.2930845     9.554  < 2e-16 ***
DESTIN_ID1830  4.9921243  0.2905767    17.180  < 2e-16 ***
DESTIN_ID1831  5.4084777  0.2904430    18.621  < 2e-16 ***
DESTIN_ID1832  4.9712620  0.2904670    17.115  < 2e-16 ***
DESTIN_ID1833  4.6805042  0.2904949    16.112  < 2e-16 ***
DESTIN_ID1834  3.7702597  0.2909401    12.959  < 2e-16 ***
DESTIN_ID1835  5.3813791  0.2904738    18.526  < 2e-16 ***
DESTIN_ID1849  4.3762730  0.2906952    15.055  < 2e-16 ***
DESTIN_ID1850  4.9922686  0.2904783    17.186  < 2e-16 ***
DESTIN_ID1851  2.4026142  0.2942506     8.165 3.21e-16 ***
DESTIN_ID1852  5.6862707  0.2904103    19.580  < 2e-16 ***
DESTIN_ID1853  4.4775119  0.2905469    15.411  < 2e-16 ***
DESTIN_ID1854  4.7317948  0.2905306    16.287  < 2e-16 ***
DESTIN_ID1855  2.7520192  0.2928233     9.398  < 2e-16 ***
DESTIN_ID1868  4.9182445  0.2905298    16.929  < 2e-16 ***
DESTIN_ID1869  4.1554435  0.2906586    14.297  < 2e-16 ***
DESTIN_ID1870  2.3874126  0.2939381     8.122 4.58e-16 ***
DESTIN_ID1871  6.9927894  0.2903824    24.081  < 2e-16 ***
DESTIN_ID1872  4.6380706  0.2906568    15.957  < 2e-16 ***
DESTIN_ID1873  4.8496510  0.2905535    16.691  < 2e-16 ***
DESTIN_ID1887  4.2282606  0.2907547    14.542  < 2e-16 ***
DESTIN_ID1888  5.7246596  0.2904363    19.711  < 2e-16 ***
DESTIN_ID1889  4.5417339  0.2905691    15.630  < 2e-16 ***
DESTIN_ID1890  4.7740865  0.2904763    16.435  < 2e-16 ***
DESTIN_ID1891  4.0730169  0.2906988    14.011  < 2e-16 ***
DESTIN_ID1892  6.5514298  0.2903960    22.560  < 2e-16 ***
DESTIN_ID1893  3.3850083  0.2936677    11.527  < 2e-16 ***
DESTIN_ID1905  3.8509890  0.3009549    12.796  < 2e-16 ***
DESTIN_ID1906  2.7656340  0.2919035     9.474  < 2e-16 ***
DESTIN_ID1907  3.9657118  0.2907357    13.640  < 2e-16 ***
DESTIN_ID1908  5.4211429  0.2904662    18.664  < 2e-16 ***
DESTIN_ID1909  4.6112109  0.2904967    15.874  < 2e-16 ***
DESTIN_ID1910  3.8365627  0.2908179    13.192  < 2e-16 ***
DESTIN_ID1911  1.8275826  0.2986765     6.119 9.42e-10 ***
DESTIN_ID1926  4.0756269  0.2910323    14.004  < 2e-16 ***
DESTIN_ID1927  3.8438343  0.2913152    13.195  < 2e-16 ***
DESTIN_ID1928  5.3140385  0.2904424    18.296  < 2e-16 ***
DESTIN_ID1929  5.2903087  0.2905027    18.211  < 2e-16 ***
DESTIN_ID1930  5.0362333  0.2904897    17.337  < 2e-16 ***
DESTIN_ID1944  4.5534964  0.2909811    15.649  < 2e-16 ***
DESTIN_ID1945  2.5935303  0.2928600     8.856  < 2e-16 ***
DESTIN_ID1946  5.1849460  0.2905016    17.848  < 2e-16 ***
DESTIN_ID1947  5.7751292  0.2904173    19.886  < 2e-16 ***
DESTIN_ID1948  5.4560154  0.2904559    18.784  < 2e-16 ***
DESTIN_ID1949  4.7639099  0.2906214    16.392  < 2e-16 ***
DESTIN_ID195   2.4957834  0.3351421     7.447 9.55e-14 ***
DESTIN_ID196   4.8780922  0.2911896    16.752  < 2e-16 ***
DESTIN_ID1965  4.8228831  0.2905665    16.598  < 2e-16 ***
DESTIN_ID1966  3.9930785  0.2908058    13.731  < 2e-16 ***
DESTIN_ID1967  4.3453050  0.2905696    14.954  < 2e-16 ***
DESTIN_ID1968  4.7976110  0.2905674    16.511  < 2e-16 ***
DESTIN_ID197   3.3460638  0.2952403    11.333  < 2e-16 ***
DESTIN_ID1983  4.3782758  0.2910108    15.045  < 2e-16 ***
DESTIN_ID1984  3.6433692  0.2913444    12.505  < 2e-16 ***
DESTIN_ID1985  4.2104700  0.2907113    14.483  < 2e-16 ***
DESTIN_ID1986  4.9679544  0.2905059    17.101  < 2e-16 ***
DESTIN_ID1987  3.5241720  0.2940552    11.985  < 2e-16 ***
DESTIN_ID2002  3.0521797  0.2969312    10.279  < 2e-16 ***
DESTIN_ID2003  2.0814940  0.2970167     7.008 2.42e-12 ***
DESTIN_ID2004  2.8751754  0.2946825     9.757  < 2e-16 ***
DESTIN_ID2005  4.5837435  0.2906786    15.769  < 2e-16 ***
DESTIN_ID2006  3.3596129  0.2913844    11.530  < 2e-16 ***
DESTIN_ID2021  3.4281448  0.2952170    11.612  < 2e-16 ***
DESTIN_ID2022  4.7924738  0.2917617    16.426  < 2e-16 ***
DESTIN_ID2023  3.8254301  0.2916123    13.118  < 2e-16 ***
DESTIN_ID2024  2.6988888  0.2927472     9.219  < 2e-16 ***
DESTIN_ID2025  1.0051620  0.3386827     2.968 0.002999 ** 
DESTIN_ID2042  1.6988922  0.3112194     5.459 4.79e-08 ***
DESTIN_ID2043  3.1572194  0.2930880    10.772  < 2e-16 ***
DESTIN_ID2044  2.8072146  0.2928619     9.585  < 2e-16 ***
DESTIN_ID2045  2.9728438  0.2992977     9.933  < 2e-16 ***
DESTIN_ID2061  2.7889518  0.2997555     9.304  < 2e-16 ***
DESTIN_ID2062  3.1473275  0.2940225    10.704  < 2e-16 ***
DESTIN_ID2063  2.9203685  0.2926306     9.980  < 2e-16 ***
DESTIN_ID2064  2.0919480  0.2994107     6.987 2.81e-12 ***
DESTIN_ID2079  4.0794232  0.2918005    13.980  < 2e-16 ***
DESTIN_ID2082  2.6437989  0.2976028     8.884  < 2e-16 ***
DESTIN_ID2083  2.8858900  0.2923235     9.872  < 2e-16 ***
DESTIN_ID2098  5.1409510  0.2907494    17.682  < 2e-16 ***
DESTIN_ID2099  6.3609500  0.2904782    21.898  < 2e-16 ***
DESTIN_ID2102  5.8598694  0.2905846    20.166  < 2e-16 ***
DESTIN_ID2115  6.6456183  0.2911434    22.826  < 2e-16 ***
DESTIN_ID2119  6.8891882  0.2904482    23.719  < 2e-16 ***
DESTIN_ID2121  4.4577563  0.2908371    15.327  < 2e-16 ***
DESTIN_ID2137  4.5601779  0.2909673    15.672  < 2e-16 ***
DESTIN_ID2140  3.4734038  0.2918385    11.902  < 2e-16 ***
DESTIN_ID215   1.0338447  0.3670332     2.817 0.004851 ** 
DESTIN_ID2153  1.7127411  0.2967686     5.771 7.87e-09 ***
DESTIN_ID2158  4.2469073  0.2915101    14.569  < 2e-16 ***
DESTIN_ID216   1.9373534  0.3142463     6.165 7.04e-10 ***
DESTIN_ID217   4.1645778  0.2967778    14.033  < 2e-16 ***
DESTIN_ID2177  3.8667660  0.2915755    13.262  < 2e-16 ***
DESTIN_ID2178  1.7877031  0.3027677     5.905 3.54e-09 ***
DESTIN_ID2196  3.4018043  0.2976117    11.430  < 2e-16 ***
DESTIN_ID2197  3.6662785  0.2924011    12.539  < 2e-16 ***
DESTIN_ID2267  1.9807468  0.3220664     6.150 7.74e-10 ***
DESTIN_ID233   1.4395983  0.2986926     4.820 1.44e-06 ***
DESTIN_ID234   1.6126552  0.3088705     5.221 1.78e-07 ***
DESTIN_ID235   2.1912261  0.3070804     7.136 9.63e-13 ***
DESTIN_ID252   2.1473249  0.2971975     7.225 5.00e-13 ***
DESTIN_ID253   2.3095531  0.3005721     7.684 1.54e-14 ***
DESTIN_ID254   3.1236335  0.2968592    10.522  < 2e-16 ***
DESTIN_ID271   1.9455694  0.3155561     6.166 7.02e-10 ***
DESTIN_ID272   4.1784068  0.2922487    14.297  < 2e-16 ***
DESTIN_ID290   2.3460199  0.3080200     7.616 2.61e-14 ***
DESTIN_ID291   1.6770234  0.3271511     5.126 2.96e-07 ***
DESTIN_ID292   2.9702236  0.2986722     9.945  < 2e-16 ***
DESTIN_ID308   4.2063634  0.2951074    14.254  < 2e-16 ***
DESTIN_ID309   1.0799848  0.3034979     3.558 0.000373 ***
DESTIN_ID310   3.0183120  0.2965530    10.178  < 2e-16 ***
DESTIN_ID329   3.2073250  0.2999267    10.694  < 2e-16 ***
DESTIN_ID330   2.1279660  0.2989621     7.118 1.10e-12 ***
DESTIN_ID347   1.8131256  0.2961509     6.122 9.22e-10 ***
DESTIN_ID348   2.3237699  0.2969996     7.824 5.11e-15 ***
DESTIN_ID349   0.4599174  0.3464802     1.327 0.184377    
DESTIN_ID366   3.5839505  0.3024747    11.849  < 2e-16 ***
DESTIN_ID367   1.7411244  0.3073263     5.665 1.47e-08 ***
DESTIN_ID368   5.6715772  0.2903626    19.533  < 2e-16 ***
DESTIN_ID369   4.1539473  0.2916196    14.244  < 2e-16 ***
DESTIN_ID370   5.3089095  0.2906900    18.263  < 2e-16 ***
DESTIN_ID385   1.8925461  0.3280879     5.768 8.00e-09 ***
DESTIN_ID386   1.2697248  0.3069494     4.137 3.53e-05 ***
DESTIN_ID387   2.7310504  0.2922627     9.345  < 2e-16 ***
DESTIN_ID388   3.1116541  0.2922318    10.648  < 2e-16 ***
DESTIN_ID389   3.8540450  0.2924349    13.179  < 2e-16 ***
DESTIN_ID40    2.3418506  0.3516793     6.659 2.76e-11 ***
DESTIN_ID404   2.4929644  0.3150391     7.913 2.51e-15 ***
DESTIN_ID405   0.8215259  0.3197313     2.569 0.010187 *  
DESTIN_ID406   0.7964942  0.3103875     2.566 0.010284 *  
DESTIN_ID407   4.3606360  0.2907354    14.999  < 2e-16 ***
DESTIN_ID408   3.7018916  0.2911816    12.713  < 2e-16 ***
DESTIN_ID42    2.0749850  0.2997765     6.922 4.46e-12 ***
DESTIN_ID424   2.5817740  0.2978729     8.667  < 2e-16 ***
DESTIN_ID425   2.3115470  0.2931306     7.886 3.13e-15 ***
DESTIN_ID426   5.2195904  0.2904752    17.969  < 2e-16 ***
DESTIN_ID427   4.3121336  0.2914457    14.796  < 2e-16 ***
DESTIN_ID442   2.1231812  0.3129310     6.785 1.16e-11 ***
DESTIN_ID443  -0.1263903  0.4186517    -0.302 0.762730    
DESTIN_ID444   3.4789957  0.2919666    11.916  < 2e-16 ***
DESTIN_ID445   3.6356211  0.2908556    12.500  < 2e-16 ***
DESTIN_ID447  -0.1714977  0.4015637    -0.427 0.669325    
DESTIN_ID448   3.6669886  0.2934217    12.497  < 2e-16 ***
DESTIN_ID461   2.6487481  0.3015369     8.784  < 2e-16 ***
DESTIN_ID462   2.3710730  0.2991538     7.926 2.26e-15 ***
DESTIN_ID463   3.1513562  0.2911751    10.823  < 2e-16 ***
DESTIN_ID464   5.2660601  0.2904271    18.132  < 2e-16 ***
DESTIN_ID465   2.0531241  0.2958236     6.940 3.91e-12 ***
DESTIN_ID466   1.9591770  0.3038624     6.448 1.14e-10 ***
DESTIN_ID467   1.8742574  0.3170606     5.911 3.39e-09 ***
DESTIN_ID480   2.1324138  0.3167412     6.732 1.67e-11 ***
DESTIN_ID481   3.2438184  0.2942498    11.024  < 2e-16 ***
DESTIN_ID482   2.2637423  0.2939137     7.702 1.34e-14 ***
DESTIN_ID483   5.6396010  0.2903880    19.421  < 2e-16 ***
DESTIN_ID484   5.4018458  0.2904377    18.599  < 2e-16 ***
DESTIN_ID486   3.1691854  0.2935269    10.797  < 2e-16 ***
DESTIN_ID487   1.3696374  0.3360309     4.076 4.58e-05 ***
DESTIN_ID488   0.9139713  0.4015736     2.276 0.022848 *  
DESTIN_ID489   0.5187210  0.5332383     0.973 0.330665    
DESTIN_ID499   1.1295708  0.3350714     3.371 0.000749 ***
DESTIN_ID500   1.4019871  0.3201393     4.379 1.19e-05 ***
DESTIN_ID501   1.9791523  0.2926027     6.764 1.34e-11 ***
DESTIN_ID502   4.7031316  0.2904513    16.192  < 2e-16 ***
DESTIN_ID503   3.9859853  0.2910997    13.693  < 2e-16 ***
DESTIN_ID507   2.9457711  0.3044131     9.677  < 2e-16 ***
DESTIN_ID508   0.9311746  0.4094600     2.274 0.022957 *  
DESTIN_ID509   1.1528500  0.4186073     2.754 0.005887 ** 
DESTIN_ID518   0.6491990  0.4420619     1.469 0.141949    
DESTIN_ID519   3.0350486  0.2966046    10.233  < 2e-16 ***
DESTIN_ID520   2.1850238  0.2974456     7.346 2.04e-13 ***
DESTIN_ID521   7.1508243  0.2903560    24.628  < 2e-16 ***
DESTIN_ID522   4.5385623  0.2905150    15.622  < 2e-16 ***
DESTIN_ID524   0.3451999  0.3464693     0.996 0.319087    
DESTIN_ID528   1.8737430  0.3282338     5.709 1.14e-08 ***
DESTIN_ID529   2.7988557  0.3084586     9.074  < 2e-16 ***
DESTIN_ID530   3.1998555  0.3064472    10.442  < 2e-16 ***
DESTIN_ID537   1.0005828  0.3414600     2.930 0.003386 ** 
DESTIN_ID538   2.2740714  0.2988321     7.610 2.74e-14 ***
DESTIN_ID539   1.6600183  0.2939831     5.647 1.64e-08 ***
DESTIN_ID540   4.4635901  0.2904630    15.367  < 2e-16 ***
DESTIN_ID541   0.9133015  0.3143332     2.906 0.003666 ** 
DESTIN_ID547   1.0512198  0.3641586     2.887 0.003893 ** 
DESTIN_ID548   1.8539151  0.3275486     5.660 1.51e-08 ***
DESTIN_ID557   1.2262671  0.3062134     4.005 6.21e-05 ***
DESTIN_ID558   2.3746201  0.2941013     8.074 6.79e-16 ***
DESTIN_ID559   2.0449292  0.2921134     7.000 2.55e-12 ***
DESTIN_ID560   5.0726648  0.2904398    17.465  < 2e-16 ***
DESTIN_ID562   1.4476891  0.2998926     4.827 1.38e-06 ***
DESTIN_ID577   1.3522386  0.2986802     4.527 5.97e-06 ***
DESTIN_ID578   4.9322682  0.2904376    16.982  < 2e-16 ***
DESTIN_ID595   2.0576400  0.2959442     6.953 3.58e-12 ***
DESTIN_ID596   3.7453499  0.2908335    12.878  < 2e-16 ***
DESTIN_ID597   4.4005987  0.2905346    15.147  < 2e-16 ***
DESTIN_ID598   5.6672951  0.2904000    19.515  < 2e-16 ***
DESTIN_ID60    1.0950442  0.4087474     2.679 0.007384 ** 
DESTIN_ID600   5.5538338  0.2906580    19.108  < 2e-16 ***
DESTIN_ID61    1.4432282  0.2963042     4.871 1.11e-06 ***
DESTIN_ID613   2.5308795  0.2992329     8.458  < 2e-16 ***
DESTIN_ID614   1.2436623  0.3020880     4.117 3.84e-05 ***
DESTIN_ID615   5.3170537  0.2904472    18.306  < 2e-16 ***
DESTIN_ID616   6.0168111  0.2903888    20.720  < 2e-16 ***
DESTIN_ID617   3.8775130  0.2909655    13.326  < 2e-16 ***
DESTIN_ID62    2.0524472  0.2958695     6.937 4.01e-12 ***
DESTIN_ID633   2.6803632  0.2934252     9.135  < 2e-16 ***
DESTIN_ID634   4.8691347  0.2905232    16.760  < 2e-16 ***
DESTIN_ID635   3.6798440  0.2908471    12.652  < 2e-16 ***
DESTIN_ID636   5.3972020  0.2904159    18.584  < 2e-16 ***
DESTIN_ID638   1.7831155  0.2960745     6.023 1.72e-09 ***
DESTIN_ID654   3.2265458  0.2911704    11.081  < 2e-16 ***
DESTIN_ID657   1.9415480  0.2950352     6.581 4.68e-11 ***
DESTIN_ID662   2.7357147  0.3131906     8.735  < 2e-16 ***
DESTIN_ID671   3.8821952  0.2913201    13.326  < 2e-16 ***
DESTIN_ID673   2.9462533  0.2912866    10.115  < 2e-16 ***
DESTIN_ID674   4.8812067  0.2904674    16.805  < 2e-16 ***
DESTIN_ID682   3.4146269  0.2968443    11.503  < 2e-16 ***
DESTIN_ID689   2.6807830  0.2965506     9.040  < 2e-16 ***
DESTIN_ID690   4.2412283  0.2908643    14.581  < 2e-16 ***
DESTIN_ID691   2.9142619  0.2914797     9.998  < 2e-16 ***
DESTIN_ID692   5.6286005  0.2904040    19.382  < 2e-16 ***
DESTIN_ID693   3.3054378  0.2913847    11.344  < 2e-16 ***
DESTIN_ID695   5.2508878  0.2904945    18.076  < 2e-16 ***
DESTIN_ID700   3.9928102  0.2929710    13.629  < 2e-16 ***
DESTIN_ID710   2.1297692  0.2934227     7.258 3.92e-13 ***
DESTIN_ID711   4.6056474  0.2904761    15.856  < 2e-16 ***
DESTIN_ID712   3.8395577  0.2906228    13.211  < 2e-16 ***
DESTIN_ID713   3.9361351  0.2909779    13.527  < 2e-16 ***
DESTIN_ID714   4.4573702  0.2906250    15.337  < 2e-16 ***
DESTIN_ID715   3.0568908  0.2913500    10.492  < 2e-16 ***
DESTIN_ID727   0.9677436  0.3173943     3.049 0.002296 ** 
DESTIN_ID728   5.3369071  0.2904956    18.372  < 2e-16 ***
DESTIN_ID729   6.2940057  0.2903835    21.675  < 2e-16 ***
DESTIN_ID730   4.5437661  0.2904927    15.642  < 2e-16 ***
DESTIN_ID731   5.2965594  0.2904852    18.233  < 2e-16 ***
DESTIN_ID732   2.8781996  0.2923160     9.846  < 2e-16 ***
DESTIN_ID733   5.0556504  0.2904434    17.407  < 2e-16 ***
DESTIN_ID734   4.3344466  0.2906146    14.915  < 2e-16 ***
DESTIN_ID738   3.8983115  0.2923851    13.333  < 2e-16 ***
DESTIN_ID746   2.4399100  0.2983998     8.177 2.92e-16 ***
DESTIN_ID748   2.8871554  0.2912214     9.914  < 2e-16 ***
DESTIN_ID749   4.8864916  0.2904672    16.823  < 2e-16 ***
DESTIN_ID750   4.9273818  0.2904448    16.965  < 2e-16 ***
DESTIN_ID751   4.7010748  0.2905343    16.181  < 2e-16 ***
DESTIN_ID752   4.2409249  0.2906401    14.592  < 2e-16 ***
DESTIN_ID753   6.4892313  0.2903859    22.347  < 2e-16 ***
DESTIN_ID754   5.8380656  0.2904557    20.100  < 2e-16 ***
DESTIN_ID757   1.4250324  0.3174535     4.489 7.16e-06 ***
DESTIN_ID764   1.0456843  0.3549441     2.946 0.003219 ** 
DESTIN_ID766   4.6511380  0.2905506    16.008  < 2e-16 ***
DESTIN_ID767   5.4282402  0.2904423    18.690  < 2e-16 ***
DESTIN_ID768   4.4229230  0.2905141    15.224  < 2e-16 ***
DESTIN_ID769   3.5986291  0.2907100    12.379  < 2e-16 ***
DESTIN_ID770   4.6903295  0.2904935    16.146  < 2e-16 ***
DESTIN_ID771   4.6762982  0.2904727    16.099  < 2e-16 ***
DESTIN_ID772   4.2196973  0.2906136    14.520  < 2e-16 ***
DESTIN_ID773   6.1722379  0.2904844    21.248  < 2e-16 ***
DESTIN_ID774   2.0737287  0.3051327     6.796 1.07e-11 ***
DESTIN_ID775   1.2334952  0.3122664     3.950 7.81e-05 ***
DESTIN_ID776   3.0767508  0.2943723    10.452  < 2e-16 ***
DESTIN_ID78    2.9511280  0.3232573     9.129  < 2e-16 ***
DESTIN_ID784   3.2568598  0.2936494    11.091  < 2e-16 ***
DESTIN_ID785   3.3741071  0.2913280    11.582  < 2e-16 ***
DESTIN_ID786   4.0886556  0.2908392    14.058  < 2e-16 ***
DESTIN_ID787   4.7328592  0.2907974    16.275  < 2e-16 ***
DESTIN_ID788   6.0968057  0.2903857    20.996  < 2e-16 ***
DESTIN_ID789   5.8266373  0.2904599    20.060  < 2e-16 ***
DESTIN_ID79   -2.7071209  0.7648968    -3.539 0.000401 ***
DESTIN_ID790   2.6952348  0.2913976     9.249  < 2e-16 ***
DESTIN_ID791   3.9826012  0.2907523    13.698  < 2e-16 ***
DESTIN_ID792   3.0438126  0.2910688    10.457  < 2e-16 ***
DESTIN_ID793   0.9686565  0.3372872     2.872 0.004080 ** 
DESTIN_ID794   1.4346579  0.3047555     4.708 2.51e-06 ***
DESTIN_ID795   3.7024682  0.2924439    12.660  < 2e-16 ***
DESTIN_ID80    2.3289608  0.2931135     7.946 1.93e-15 ***
DESTIN_ID803   3.6126977  0.2911221    12.410  < 2e-16 ***
DESTIN_ID804   3.9721413  0.2907629    13.661  < 2e-16 ***
DESTIN_ID805   1.7436912  0.2969988     5.871 4.33e-09 ***
DESTIN_ID806   5.1384007  0.2904479    17.691  < 2e-16 ***
DESTIN_ID807   3.9817463  0.2910361    13.681  < 2e-16 ***
DESTIN_ID809   4.9570204  0.2904466    17.067  < 2e-16 ***
DESTIN_ID81    4.6949643  0.3051327    15.387  < 2e-16 ***
DESTIN_ID810   2.6298204  0.2916037     9.018  < 2e-16 ***
DESTIN_ID811   2.9512200  0.2921025    10.103  < 2e-16 ***
DESTIN_ID812   1.7980667  0.2966187     6.062 1.35e-09 ***
DESTIN_ID813   3.3326626  0.2915844    11.429  < 2e-16 ***
DESTIN_ID814   2.2291019  0.2978060     7.485 7.15e-14 ***
DESTIN_ID82    1.1437509  0.5001671     2.287 0.022211 *  
DESTIN_ID822   4.0191265  0.2921179    13.759  < 2e-16 ***
DESTIN_ID823   4.2786602  0.2905611    14.726  < 2e-16 ***
DESTIN_ID824   1.5364964  0.2951183     5.206 1.93e-07 ***
DESTIN_ID825   4.1038715  0.2907125    14.117  < 2e-16 ***
DESTIN_ID826   4.8307455  0.2904794    16.630  < 2e-16 ***
DESTIN_ID829   4.6339318  0.2904887    15.952  < 2e-16 ***
DESTIN_ID831   4.7500259  0.2907083    16.339  < 2e-16 ***
DESTIN_ID832   1.7353461  0.2961133     5.860 4.62e-09 ***
DESTIN_ID833   2.9133055  0.2917410     9.986  < 2e-16 ***
DESTIN_ID840   4.0080521  0.2910090    13.773  < 2e-16 ***
DESTIN_ID841   4.7133386  0.2904977    16.225  < 2e-16 ***
DESTIN_ID842   5.6599775  0.2904064    19.490  < 2e-16 ***
DESTIN_ID843   1.9746548  0.2941318     6.714 1.90e-11 ***
DESTIN_ID844   2.6173195  0.2930749     8.931  < 2e-16 ***
DESTIN_ID845   4.4561637  0.2906402    15.332  < 2e-16 ***
DESTIN_ID846   1.7204355  0.2944237     5.843 5.11e-09 ***
DESTIN_ID847   6.5330324  0.2903802    22.498  < 2e-16 ***
DESTIN_ID850   0.6030462  0.7648590     0.788 0.430439    
DESTIN_ID851   6.3521709  0.2904355    21.871  < 2e-16 ***
DESTIN_ID852   2.0015358  0.2951563     6.781 1.19e-11 ***
DESTIN_ID859   4.0006433  0.2909627    13.750  < 2e-16 ***
DESTIN_ID860   5.7733341  0.2904503    19.877  < 2e-16 ***
DESTIN_ID861   6.5408217  0.2903806    22.525  < 2e-16 ***
DESTIN_ID862   2.3615554  0.2938861     8.036 9.31e-16 ***
DESTIN_ID863   3.8967276  0.2909432    13.393  < 2e-16 ***
DESTIN_ID864   2.5379493  0.2919513     8.693  < 2e-16 ***
DESTIN_ID865   5.3817671  0.2904568    18.529  < 2e-16 ***
DESTIN_ID866   3.0781334  0.2910650    10.575  < 2e-16 ***
DESTIN_ID867   4.9550472  0.2905146    17.056  < 2e-16 ***
DESTIN_ID869   1.8072820  0.3038060     5.949 2.70e-09 ***
DESTIN_ID871   1.9939051  0.2942594     6.776 1.24e-11 ***
DESTIN_ID872   6.5982260  0.2904560    22.717  < 2e-16 ***
DESTIN_ID878   4.4286128  0.2906101    15.239  < 2e-16 ***
DESTIN_ID879   5.0947962  0.2904381    17.542  < 2e-16 ***
DESTIN_ID880   4.8723619  0.2904807    16.773  < 2e-16 ***
DESTIN_ID882   4.3626032  0.2907035    15.007  < 2e-16 ***
DESTIN_ID883   3.4657618  0.2910405    11.908  < 2e-16 ***
DESTIN_ID884   3.2131091  0.2912009    11.034  < 2e-16 ***
DESTIN_ID885   4.8003174  0.2904658    16.526  < 2e-16 ***
DESTIN_ID886   4.6684994  0.2906479    16.062  < 2e-16 ***
DESTIN_ID890   2.2880270  0.2921290     7.832 4.79e-15 ***
DESTIN_ID891   4.2635651  0.3842361    11.096  < 2e-16 ***
DESTIN_ID897   4.4873976  0.2906954    15.437  < 2e-16 ***
DESTIN_ID898   4.5884786  0.2905809    15.791  < 2e-16 ***
DESTIN_ID899   3.6764967  0.2907485    12.645  < 2e-16 ***
DESTIN_ID900   3.5714729  0.2909620    12.275  < 2e-16 ***
DESTIN_ID901   4.6642623  0.2905594    16.053  < 2e-16 ***
DESTIN_ID902   3.8577680  0.2908725    13.263  < 2e-16 ***
DESTIN_ID903   3.0444847  0.2930089    10.390  < 2e-16 ***
DESTIN_ID904   5.3832011  0.2904570    18.534  < 2e-16 ***
DESTIN_ID905   4.6111005  0.2905886    15.868  < 2e-16 ***
DESTIN_ID907   2.5919390  0.2950250     8.785  < 2e-16 ***
DESTIN_ID909   5.5978503  0.2904361    19.274  < 2e-16 ***
DESTIN_ID910   5.6930107  0.2904362    19.602  < 2e-16 ***
DESTIN_ID915   2.8088959  0.2944389     9.540  < 2e-16 ***
DESTIN_ID916   4.4884338  0.2909836    15.425  < 2e-16 ***
DESTIN_ID917   3.5222487  0.2910753    12.101  < 2e-16 ***
DESTIN_ID918   3.5964217  0.2909975    12.359  < 2e-16 ***
DESTIN_ID919   2.6918795  0.2919044     9.222  < 2e-16 ***
DESTIN_ID920   5.7499155  0.2904264    19.798  < 2e-16 ***
DESTIN_ID922   3.7294368  0.2912070    12.807  < 2e-16 ***
DESTIN_ID923   5.1934315  0.2904804    17.879  < 2e-16 ***
DESTIN_ID927   4.0907647  0.2909170    14.062  < 2e-16 ***
DESTIN_ID928   4.8533767  0.2905221    16.706  < 2e-16 ***
DESTIN_ID929   2.6044944  0.2929267     8.891  < 2e-16 ***
DESTIN_ID935   3.9782703  0.2909819    13.672  < 2e-16 ***
DESTIN_ID936   4.5476848  0.2906058    15.649  < 2e-16 ***
DESTIN_ID937   4.9482849  0.2905224    17.032  < 2e-16 ***
DESTIN_ID938   4.0101052  0.2907731    13.791  < 2e-16 ***
DESTIN_ID939   4.7352356  0.2905088    16.300  < 2e-16 ***
DESTIN_ID945   4.5918899  0.2911301    15.773  < 2e-16 ***
DESTIN_ID947   4.9875656  0.2904728    17.171  < 2e-16 ***
DESTIN_ID948   4.9750350  0.2905340    17.124  < 2e-16 ***
DESTIN_ID953   5.3013206  0.2905248    18.247  < 2e-16 ***
DESTIN_ID954   4.1140720  0.2907516    14.150  < 2e-16 ***
DESTIN_ID955   4.9884867  0.2905202    17.171  < 2e-16 ***
DESTIN_ID956   4.1171706  0.2907964    14.158  < 2e-16 ***
DESTIN_ID964   0.8003612  0.3298460     2.426 0.015247 *  
DESTIN_ID966   5.4324189  0.2904482    18.704  < 2e-16 ***
DESTIN_ID967   5.3258725  0.2905575    18.330  < 2e-16 ***
DESTIN_ID972   4.5323835  0.2907549    15.588  < 2e-16 ***
DESTIN_ID973   3.0300512  0.2919553    10.378  < 2e-16 ***
DESTIN_ID974   3.5085139  0.2909587    12.058  < 2e-16 ***
DESTIN_ID975   3.8500940  0.2908686    13.237  < 2e-16 ***
DESTIN_ID977   5.0118921  0.2905114    17.252  < 2e-16 ***
DESTIN_ID983   1.8172743  0.3700973     4.910 9.10e-07 ***
DESTIN_ID985   4.3945621  0.2905833    15.123  < 2e-16 ***
DESTIN_ID986   2.7430611  0.2915051     9.410  < 2e-16 ***
DESTIN_ID99   -0.2010924  0.3886413    -0.517 0.604860    
DESTIN_ID990   2.4634849  0.2966164     8.305  < 2e-16 ***
DESTIN_ID991   2.9602727  0.2950549    10.033  < 2e-16 ***
DESTIN_ID992   2.9189412  0.2971156     9.824  < 2e-16 ***
DESTIN_ID993   5.6485443  0.2904308    19.449  < 2e-16 ***
DESTIN_ID994   3.0247006  0.2921785    10.352  < 2e-16 ***
DESTIN_ID995   4.4975651  0.2906126    15.476  < 2e-16 ***
log(dists)    -1.5664857  0.0004722 -3317.229  < 2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for poisson family taken to be 1)

    Null deviance: 29522779  on 62704  degrees of freedom
Residual deviance:  6316372  on 61068  degrees of freedom
AIC: 6616746

Number of Fisher Scoring iterations: 7

Similar to the Unconstrained Model, it can be seen that all p-value of each factor is much lower than 0.05, showing that they are all statistically significant.

Let’s calculated the R-Squared value.

CalcRSquared(dbcSIM$data$TOTAL_TRIP, dbcSIM$fitted.values)
[1] 0.5992796

The R-Squared value indicates that the model can account for roughly 59.93% of the variation in the number of trips between each pair of origin-destination.

Model Comparison

The Root Mean Squared Error (RSME) of each model is a good comparison, giving a gauge of the deviation between the actual values and predicted values. The RSME can be calculated using the compare_performance() function of the performance package.

model_list <- list(unconstrained = uncSIM,
                   originConstrained = orcSIM,
                   destinationConstrained = decSIM,
                   doublyConstrained = dbcSIM)
mtric <- c('AIC', 'RMSE')

compare_performance(model_list,
                    metrics = mtric)
# Comparison of Model Performance Indices

Name                   | Model |   AIC (weights) |    RMSE
----------------------------------------------------------
unconstrained          |   glm | 1.3e+07 (<.001) | 432.350
originConstrained      |   glm | 9.8e+06 (<.001) | 393.713
destinationConstrained |   glm | 9.1e+06 (<.001) | 383.132
doublyConstrained      |   glm | 6.6e+06 (>.999) | 336.315

From this Model Comparison, the Doubly Constrained Model as the lowest RMSE, indicating that its fitted values is the closest to the actual values compared to the other models. Additionally, the Akaike Information Criterion (AIC), which tends to prefer less complex models with better explanatory power, tells us that the Doubly Constrained Model is the most appropriate due to it having the lowest value.

Thus, the Doubly Constrained Model would be the most appropriate model for our purpose. Before moving on to examine it in further depth, the fitted values can be visualized.

Visualizing Fitted Values

Aside from the model comparison, the fitted values can be plotted against the actual values in order to roughly gauge the appropriateness of each model.

Firstly, the fitted values in each model must be extracted.

df <- as.data.frame(uncSIM$fitted.values) %>%
  round(digits = 0)

Next, we will join the values to our final data frame.

final_df_with_fit <- final_df %>%
  cbind(df) %>%
  rename(uncTRIPS = "uncSIM$fitted.values")

These steps can be repeated for the other models.

df <- as.data.frame(orcSIM$fitted.values) %>%
  round(digits = 0)

final_df_with_fit <- final_df_with_fit %>%
  cbind(df) %>%
  rename(orcTRIPS = 'orcSIM$fitted.values')


df <- as.data.frame(decSIM$fitted.values) %>%
  round(digits = 0)

final_df_with_fit <- final_df_with_fit %>%
  cbind(df) %>%
  rename(decTRIPS = 'decSIM$fitted.values')


df <- as.data.frame(dbcSIM$fitted.values) %>%
  round(digits = 0)

final_df_with_fit <- final_df_with_fit %>%
  cbind(df) %>%
  rename(dbcTRIPS = 'dbcSIM$fitted.values')

The four scatter plots of actual and predicted values can be plotted together for ease of comparison using ggplot2.

unc_p <- ggplot(final_df_with_fit,
                aes(x = uncTRIPS,
                    y = TOTAL_TRIP))+
  geom_point()+
  geom_smooth(method = lm)+
  ggtitle('Actual and Fitted Values in Unconstrained Model')+
  theme(plot.title=element_text(size=7))

orc_p <- ggplot(data = final_df_with_fit,
                aes(x = orcTRIPS,
                    y = TOTAL_TRIP)) +
  geom_point() +
  geom_smooth(method = lm)+
  ggtitle('Actual and Fitted Values in Origin-Constrained Model')+
  theme(plot.title=element_text(size=7))

dec_p <- ggplot(data = final_df_with_fit,
                aes(x = decTRIPS,
                    y = TOTAL_TRIP)) +
  geom_point() +
  geom_smooth(method = lm)+
  ggtitle('Actual and Fitted Values in Destination-Constrained Model')+
  theme(plot.title=element_text(size=7))

dbc_p <- ggplot(data = final_df_with_fit,
                aes(x = dbcTRIPS,
                    y = TOTAL_TRIP)) +
  geom_point() +
  geom_smooth(method = lm)+
  ggtitle('Actual and Fitted Values in Doubly-Constrained Model')+
  theme(plot.title=element_text(size=7))

ggarrange(unc_p, orc_p, dec_p, dbc_p,
          ncol = 2,
          nrow = 2)

From a brief examination, it is identifiable that the Doubly Constrained Model provides the best fit line between the predicted values and the actual values.

Analyzing Chosen Model

The coefficient values of the Doubly Constrained Model can be displayed again for further analysis of travel during the Weekend/Holiday Morning Peak 11am - 2pm (11:00 - 14:00).

summary(dbcSIM)

Call:
glm(formula = TOTAL_TRIP ~ ORIG_ID + DESTIN_ID + log(dists), 
    family = poisson(link = "log"), data = final_df, na.action = na.exclude)

Coefficients:
                Estimate Std. Error   z value Pr(>|z|)    
(Intercept)   10.4310925  0.2978416    35.022  < 2e-16 ***
ORIG_ID1001    2.7754328  0.0758391    36.596  < 2e-16 ***
ORIG_ID1002   -1.7220653  0.1468629   -11.726  < 2e-16 ***
ORIG_ID1003   -0.1050412  0.0828673    -1.268 0.204947    
ORIG_ID1004    3.8688791  0.0733498    52.746  < 2e-16 ***
ORIG_ID1005    1.0588770  0.0752656    14.069  < 2e-16 ***
ORIG_ID101     4.6768380  0.0743947    62.865  < 2e-16 ***
ORIG_ID1010    0.6964370  0.0755526     9.218  < 2e-16 ***
ORIG_ID1011    0.3053156  0.0773245     3.948 7.86e-05 ***
ORIG_ID1012   -0.3035267  0.0813000    -3.733 0.000189 ***
ORIG_ID1013    1.2450565  0.0743601    16.744  < 2e-16 ***
ORIG_ID1014    0.7526468  0.0763005     9.864  < 2e-16 ***
ORIG_ID102    -2.3116921  0.1872970   -12.342  < 2e-16 ***
ORIG_ID1023    1.8718268  0.0738116    25.360  < 2e-16 ***
ORIG_ID1024    1.9509861  0.0736738    26.481  < 2e-16 ***
ORIG_ID1025    2.3582143  0.0742603    31.756  < 2e-16 ***
ORIG_ID1028    0.4533870  0.0763183     5.941 2.84e-09 ***
ORIG_ID1030   -0.3575707  0.0835015    -4.282 1.85e-05 ***
ORIG_ID1031    1.8658225  0.0736868    25.321  < 2e-16 ***
ORIG_ID1033    1.5431184  0.0740896    20.828  < 2e-16 ***
ORIG_ID1040   -0.2626777  0.0959345    -2.738 0.006180 ** 
ORIG_ID1041    0.7284557  0.0763897     9.536  < 2e-16 ***
ORIG_ID1042    2.0186672  0.0736033    27.426  < 2e-16 ***
ORIG_ID1043    1.3939281  0.0743778    18.741  < 2e-16 ***
ORIG_ID1048    0.4586953  0.0756790     6.061 1.35e-09 ***
ORIG_ID1049    1.4320041  0.0739063    19.376  < 2e-16 ***
ORIG_ID1050    2.3320868  0.0735051    31.727  < 2e-16 ***
ORIG_ID1061    2.5485337  0.0736728    34.593  < 2e-16 ***
ORIG_ID1062    2.7309578  0.0735536    37.129  < 2e-16 ***
ORIG_ID1063    0.8729493  0.0759756    11.490  < 2e-16 ***
ORIG_ID1064   -0.7635956  0.2063069    -3.701 0.000215 ***
ORIG_ID1066    1.1929544  0.0742964    16.057  < 2e-16 ***
ORIG_ID1067    1.6302567  0.0738077    22.088  < 2e-16 ***
ORIG_ID1068    2.1946106  0.0735236    29.849  < 2e-16 ***
ORIG_ID1069    1.2724123  0.0740280    17.188  < 2e-16 ***
ORIG_ID1071    0.5968840  0.0758039     7.874 3.43e-15 ***
ORIG_ID1078   -0.5924827  0.1029501    -5.755 8.66e-09 ***
ORIG_ID1080    1.8152737  0.0739494    24.548  < 2e-16 ***
ORIG_ID1081    1.8095432  0.0740084    24.450  < 2e-16 ***
ORIG_ID1082    1.1877726  0.0759125    15.647  < 2e-16 ***
ORIG_ID1086    1.0262281  0.0743830    13.797  < 2e-16 ***
ORIG_ID1087    1.5668995  0.0738183    21.226  < 2e-16 ***
ORIG_ID1089    1.7582681  0.0738546    23.807  < 2e-16 ***
ORIG_ID1090    0.7758343  0.0750624    10.336  < 2e-16 ***
ORIG_ID1097    1.5398543  0.0831298    18.523  < 2e-16 ***
ORIG_ID1100    2.2146495  0.0737437    30.032  < 2e-16 ***
ORIG_ID1101   -0.1779375  0.0896731    -1.984 0.047223 *  
ORIG_ID1102    0.5017051  0.0816010     6.148 7.83e-10 ***
ORIG_ID1104    1.8968553  0.0736790    25.745  < 2e-16 ***
ORIG_ID1105    1.7629435  0.0736350    23.942  < 2e-16 ***
ORIG_ID1106    1.2759050  0.0753044    16.943  < 2e-16 ***
ORIG_ID1107    0.6394160  0.0752939     8.492  < 2e-16 ***
ORIG_ID1108    0.9768358  0.0746647    13.083  < 2e-16 ***
ORIG_ID1115   -0.6214128  0.1066031    -5.829 5.57e-09 ***
ORIG_ID1116    0.8933824  0.0891423    10.022  < 2e-16 ***
ORIG_ID1119    0.2791895  0.0766194     3.644 0.000269 ***
ORIG_ID1120    1.2684779  0.0760844    16.672  < 2e-16 ***
ORIG_ID1123    0.4678125  0.0749107     6.245 4.24e-10 ***
ORIG_ID1124    1.0546134  0.0741507    14.223  < 2e-16 ***
ORIG_ID1125    1.7827081  0.0736451    24.207  < 2e-16 ***
ORIG_ID1128    1.5868008  0.0739741    21.451  < 2e-16 ***
ORIG_ID1138    0.9343390  0.0750328    12.452  < 2e-16 ***
ORIG_ID1139    2.2003353  0.0740634    29.709  < 2e-16 ***
ORIG_ID1140    1.5778046  0.0754712    20.906  < 2e-16 ***
ORIG_ID1142    0.2991448  0.0750981     3.983 6.79e-05 ***
ORIG_ID1143    1.9983353  0.0735126    27.184  < 2e-16 ***
ORIG_ID1144    0.7768248  0.0748878    10.373  < 2e-16 ***
ORIG_ID1145    1.0088526  0.0747013    13.505  < 2e-16 ***
ORIG_ID1146    1.3284454  0.0744099    17.853  < 2e-16 ***
ORIG_ID1147    0.7982002  0.0767239    10.404  < 2e-16 ***
ORIG_ID1152   -2.1681757  0.1535419   -14.121  < 2e-16 ***
ORIG_ID1153    1.1068219  0.0758782    14.587  < 2e-16 ***
ORIG_ID1157    2.4599706  0.0736736    33.390  < 2e-16 ***
ORIG_ID1158    0.9014158  0.0757400    11.901  < 2e-16 ***
ORIG_ID116     4.4177538  0.0786216    56.190  < 2e-16 ***
ORIG_ID1161    2.8742070  0.0734311    39.142  < 2e-16 ***
ORIG_ID1162    1.7488134  0.0736415    23.748  < 2e-16 ***
ORIG_ID1163    2.4080847  0.0734635    32.779  < 2e-16 ***
ORIG_ID1164    1.0130876  0.0747091    13.560  < 2e-16 ***
ORIG_ID1167    0.2382702  0.0809426     2.944 0.003243 ** 
ORIG_ID117     0.4618132  0.2059829     2.242 0.024962 *  
ORIG_ID1171   -0.7979885  0.1053635    -7.574 3.63e-14 ***
ORIG_ID1172    2.0580695  0.0745399    27.610  < 2e-16 ***
ORIG_ID1173    0.9166581  0.0766275    11.963  < 2e-16 ***
ORIG_ID1176    1.1839185  0.0744894    15.894  < 2e-16 ***
ORIG_ID1177    2.0141865  0.0741610    27.160  < 2e-16 ***
ORIG_ID118     0.3670703  0.0968323     3.791 0.000150 ***
ORIG_ID1180    2.0207737  0.0735771    27.465  < 2e-16 ***
ORIG_ID1181    1.8119265  0.0735337    24.641  < 2e-16 ***
ORIG_ID1183   -0.7291457  0.0824674    -8.842  < 2e-16 ***
ORIG_ID1184    1.5704364  0.0739319    21.242  < 2e-16 ***
ORIG_ID1186   -1.3408190  0.1231967   -10.884  < 2e-16 ***
ORIG_ID119    -0.5801333  0.0900848    -6.440 1.20e-10 ***
ORIG_ID1192   -0.6232604  0.0858844    -7.257 3.96e-13 ***
ORIG_ID1193    0.1984993  0.0768782     2.582 0.009823 ** 
ORIG_ID1194   -0.6107648  0.0807192    -7.567 3.83e-14 ***
ORIG_ID1195    2.7801158  0.0735663    37.791  < 2e-16 ***
ORIG_ID1196    1.2870185  0.0755276    17.040  < 2e-16 ***
ORIG_ID1199   -0.2976013  0.0767667    -3.877 0.000106 ***
ORIG_ID120    -1.1556931  0.0993110   -11.637  < 2e-16 ***
ORIG_ID1200    1.7101369  0.0736085    23.233  < 2e-16 ***
ORIG_ID1201    1.6711758  0.0736244    22.699  < 2e-16 ***
ORIG_ID1202    1.0431380  0.0740478    14.087  < 2e-16 ***
ORIG_ID1203    1.2099167  0.0747406    16.188  < 2e-16 ***
ORIG_ID1204    1.0702911  0.0752602    14.221  < 2e-16 ***
ORIG_ID1205   -1.9209040  0.2685392    -7.153 8.48e-13 ***
ORIG_ID1207    0.7259643  0.0760014     9.552  < 2e-16 ***
ORIG_ID1208    1.0140026  0.0756533    13.403  < 2e-16 ***
ORIG_ID1209    1.2053231  0.0756125    15.941  < 2e-16 ***
ORIG_ID121    -0.5947091  0.0928025    -6.408 1.47e-10 ***
ORIG_ID1210   -1.3920879  0.1361252   -10.227  < 2e-16 ***
ORIG_ID1211   -1.2443560  0.0926119   -13.436  < 2e-16 ***
ORIG_ID1212   -1.9565631  0.1067667   -18.326  < 2e-16 ***
ORIG_ID1213    3.0357561  0.0734586    41.326  < 2e-16 ***
ORIG_ID1214    1.7273815  0.0741366    23.300  < 2e-16 ***
ORIG_ID1218    1.6012212  0.0739506    21.653  < 2e-16 ***
ORIG_ID1219    2.7637823  0.0733998    37.654  < 2e-16 ***
ORIG_ID122     0.9406783  0.1176571     7.995 1.29e-15 ***
ORIG_ID1220    1.5048936  0.0736651    20.429  < 2e-16 ***
ORIG_ID1221    1.9680142  0.0736026    26.738  < 2e-16 ***
ORIG_ID1222    0.7357257  0.0760711     9.672  < 2e-16 ***
ORIG_ID1225    1.6305811  0.0739958    22.036  < 2e-16 ***
ORIG_ID1226    0.3742663  0.0763507     4.902 9.49e-07 ***
ORIG_ID1227    1.3262722  0.0746517    17.766  < 2e-16 ***
ORIG_ID1229   -0.6331597  0.0877507    -7.215 5.38e-13 ***
ORIG_ID1230    1.4904910  0.0742731    20.068  < 2e-16 ***
ORIG_ID1231    1.6097569  0.0739055    21.781  < 2e-16 ***
ORIG_ID1232    1.4890604  0.0740172    20.118  < 2e-16 ***
ORIG_ID1233    2.5034317  0.0737566    33.942  < 2e-16 ***
ORIG_ID1234   -0.8244409  0.1078743    -7.643 2.13e-14 ***
ORIG_ID1238    0.7333855  0.0742507     9.877  < 2e-16 ***
ORIG_ID1239    0.3276015  0.0745718     4.393 1.12e-05 ***
ORIG_ID1240    2.3652839  0.0734105    32.220  < 2e-16 ***
ORIG_ID1241    1.0096368  0.0746907    13.518  < 2e-16 ***
ORIG_ID1242   -0.3060050  0.0784075    -3.903 9.51e-05 ***
ORIG_ID1243   -1.0861836  0.0890511   -12.197  < 2e-16 ***
ORIG_ID1244    0.3066139  0.0755871     4.056 4.98e-05 ***
ORIG_ID1245    1.5492594  0.0745192    20.790  < 2e-16 ***
ORIG_ID1246    0.7702609  0.0766723    10.046  < 2e-16 ***
ORIG_ID1249   -1.0352433  0.0933437   -11.091  < 2e-16 ***
ORIG_ID1250    2.9639714  0.0734415    40.358  < 2e-16 ***
ORIG_ID1251    2.8125609  0.0734967    38.268  < 2e-16 ***
ORIG_ID1252    1.9471866  0.0740668    26.290  < 2e-16 ***
ORIG_ID1253   -0.3502908  0.0823006    -4.256 2.08e-05 ***
ORIG_ID1256    1.2267608  0.0739401    16.591  < 2e-16 ***
ORIG_ID1257    0.7162959  0.0741285     9.663  < 2e-16 ***
ORIG_ID1258    1.2449235  0.0737459    16.881  < 2e-16 ***
ORIG_ID1259    1.0923739  0.0739926    14.763  < 2e-16 ***
ORIG_ID1260    0.7548736  0.0762750     9.897  < 2e-16 ***
ORIG_ID1261   -0.4052100  0.0777894    -5.209 1.90e-07 ***
ORIG_ID1262    1.9501384  0.0736617    26.474  < 2e-16 ***
ORIG_ID1263    1.4813637  0.0738912    20.048  < 2e-16 ***
ORIG_ID1264    2.0510326  0.0737102    27.826  < 2e-16 ***
ORIG_ID1265    1.8303617  0.0740081    24.732  < 2e-16 ***
ORIG_ID1266    0.9172652  0.0762359    12.032  < 2e-16 ***
ORIG_ID1268    1.1850411  0.0748401    15.834  < 2e-16 ***
ORIG_ID1269    2.1935343  0.0735786    29.812  < 2e-16 ***
ORIG_ID1270    2.3169607  0.0736546    31.457  < 2e-16 ***
ORIG_ID1272    2.4159048  0.0764386    31.606  < 2e-16 ***
ORIG_ID1276    1.7268127  0.0735752    23.470  < 2e-16 ***
ORIG_ID1277    0.8491343  0.0740880    11.461  < 2e-16 ***
ORIG_ID1278    2.1176001  0.0734418    28.834  < 2e-16 ***
ORIG_ID1279    1.8557172  0.0736130    25.209  < 2e-16 ***
ORIG_ID1280    1.0528032  0.0739810    14.231  < 2e-16 ***
ORIG_ID1281    0.7646471  0.0744670    10.268  < 2e-16 ***
ORIG_ID1282    0.8485914  0.0743930    11.407  < 2e-16 ***
ORIG_ID1283    1.3833914  0.0738647    18.729  < 2e-16 ***
ORIG_ID1284    1.8378419  0.0737395    24.923  < 2e-16 ***
ORIG_ID1285    1.3880159  0.0742961    18.682  < 2e-16 ***
ORIG_ID1288    1.9477976  0.0739827    26.328  < 2e-16 ***
ORIG_ID1289    2.8887136  0.0735668    39.267  < 2e-16 ***
ORIG_ID1294    1.5502979  0.0738221    21.000  < 2e-16 ***
ORIG_ID1295    2.8537496  0.0733566    38.902  < 2e-16 ***
ORIG_ID1296    1.8118974  0.0734975    24.653  < 2e-16 ***
ORIG_ID1297    0.3262191  0.0764668     4.266 1.99e-05 ***
ORIG_ID1298    2.1228920  0.0735384    28.868  < 2e-16 ***
ORIG_ID1299    1.6322764  0.0736418    22.165  < 2e-16 ***
ORIG_ID1300   -0.6528614  0.0797729    -8.184 2.75e-16 ***
ORIG_ID1301    2.0530362  0.0735846    27.900  < 2e-16 ***
ORIG_ID1302    2.2230186  0.0734815    30.253  < 2e-16 ***
ORIG_ID1303    2.4303564  0.0735323    33.052  < 2e-16 ***
ORIG_ID1304   -0.0710654  0.0795375    -0.893 0.371599    
ORIG_ID1306    1.5171719  0.0747434    20.298  < 2e-16 ***
ORIG_ID1307    2.7499672  0.0736370    37.345  < 2e-16 ***
ORIG_ID1308    2.2526712  0.0743057    30.316  < 2e-16 ***
ORIG_ID1314    1.3436581  0.0737641    18.216  < 2e-16 ***
ORIG_ID1315    1.3003985  0.0736783    17.650  < 2e-16 ***
ORIG_ID1316    0.8311521  0.0748322    11.107  < 2e-16 ***
ORIG_ID1317    1.0007597  0.0743325    13.463  < 2e-16 ***
ORIG_ID1318    1.7533340  0.0736679    23.801  < 2e-16 ***
ORIG_ID1319    1.9771116  0.0735676    26.875  < 2e-16 ***
ORIG_ID1320    2.8339518  0.0733960    38.612  < 2e-16 ***
ORIG_ID1321    1.6218239  0.0736899    22.009  < 2e-16 ***
ORIG_ID1322    1.5693799  0.0737446    21.281  < 2e-16 ***
ORIG_ID1323    0.5135412  0.0766440     6.700 2.08e-11 ***
ORIG_ID1326    2.8238031  0.0736596    38.336  < 2e-16 ***
ORIG_ID1327    2.4789654  0.0739513    33.522  < 2e-16 ***
ORIG_ID1332   -0.2882446  0.0775639    -3.716 0.000202 ***
ORIG_ID1333    0.6567613  0.0742146     8.849  < 2e-16 ***
ORIG_ID1334    2.0271046  0.0734358    27.604  < 2e-16 ***
ORIG_ID1335    2.4960508  0.0734242    33.995  < 2e-16 ***
ORIG_ID1336    1.4171615  0.0738796    19.182  < 2e-16 ***
ORIG_ID1337    3.1756873  0.0733221    43.311  < 2e-16 ***
ORIG_ID1338    0.8365814  0.0741554    11.281  < 2e-16 ***
ORIG_ID1339    1.0721562  0.0740006    14.488  < 2e-16 ***
ORIG_ID1340    3.2561100  0.0733366    44.400  < 2e-16 ***
ORIG_ID1341    0.2414403  0.0759329     3.180 0.001475 ** 
ORIG_ID1342    0.4190598  0.0775722     5.402 6.58e-08 ***
ORIG_ID1345    2.2751247  0.0740064    30.742  < 2e-16 ***
ORIG_ID1352    0.5084860  0.0758336     6.705 2.01e-11 ***
ORIG_ID1353    1.2060768  0.0737614    16.351  < 2e-16 ***
ORIG_ID1354    2.5247877  0.0733675    34.413  < 2e-16 ***
ORIG_ID1355    2.1172209  0.0735732    28.777  < 2e-16 ***
ORIG_ID1356    1.9537534  0.0735558    26.562  < 2e-16 ***
ORIG_ID1357    2.1119855  0.0734866    28.740  < 2e-16 ***
ORIG_ID1358    1.9736618  0.0738821    26.714  < 2e-16 ***
ORIG_ID1359    2.2355859  0.0734835    30.423  < 2e-16 ***
ORIG_ID136     4.3045361  0.0781941    55.049  < 2e-16 ***
ORIG_ID1360    1.7685405  0.0737016    23.996  < 2e-16 ***
ORIG_ID1364   -2.2401379  0.1619233   -13.835  < 2e-16 ***
ORIG_ID137     0.4461821  0.1060511     4.207 2.59e-05 ***
ORIG_ID1370   -3.9391116  1.0028232    -3.928 8.56e-05 ***
ORIG_ID1371    0.4228589  0.0759768     5.566 2.61e-08 ***
ORIG_ID1372    2.0150206  0.0734771    27.424  < 2e-16 ***
ORIG_ID1373    1.5809708  0.0737254    21.444  < 2e-16 ***
ORIG_ID1374    1.3447582  0.0739993    18.173  < 2e-16 ***
ORIG_ID1375    1.9452044  0.0737807    26.365  < 2e-16 ***
ORIG_ID1376    1.3956066  0.0738120    18.908  < 2e-16 ***
ORIG_ID1377   -0.4292409  0.0775020    -5.538 3.05e-08 ***
ORIG_ID1378    2.3696621  0.0735044    32.238  < 2e-16 ***
ORIG_ID1379    1.3007033  0.0765884    16.983  < 2e-16 ***
ORIG_ID138     0.6854440  0.1341653     5.109 3.24e-07 ***
ORIG_ID1380    1.1769939  0.0753892    15.612  < 2e-16 ***
ORIG_ID1383    0.2596266  0.0826014     3.143 0.001672 ** 
ORIG_ID1389    1.7179256  0.0852902    20.142  < 2e-16 ***
ORIG_ID139     1.5565155  0.0885751    17.573  < 2e-16 ***
ORIG_ID1390    0.5994609  0.0766988     7.816 5.46e-15 ***
ORIG_ID1391    0.7770724  0.0743692    10.449  < 2e-16 ***
ORIG_ID1392    1.6947364  0.0735560    23.040  < 2e-16 ***
ORIG_ID1393    1.6829565  0.0735810    22.872  < 2e-16 ***
ORIG_ID1394    1.7167461  0.0736420    23.312  < 2e-16 ***
ORIG_ID1395    2.7773277  0.0737638    37.652  < 2e-16 ***
ORIG_ID1396    0.2557296  0.0767069     3.334 0.000857 ***
ORIG_ID1397    0.7938849  0.0806857     9.839  < 2e-16 ***
ORIG_ID1398    1.6688392  0.0742023    22.490  < 2e-16 ***
ORIG_ID140     1.3092601  0.0772378    16.951  < 2e-16 ***
ORIG_ID1401   -0.5372353  0.0964275    -5.571 2.53e-08 ***
ORIG_ID1408    0.6922816  0.0971039     7.129 1.01e-12 ***
ORIG_ID1409    0.7522611  0.0760893     9.887  < 2e-16 ***
ORIG_ID141    -1.6602494  0.1219319   -13.616  < 2e-16 ***
ORIG_ID1410   -0.2585159  0.0804650    -3.213 0.001315 ** 
ORIG_ID1411    2.0450409  0.0734766    27.833  < 2e-16 ***
ORIG_ID1412    2.3270949  0.0734528    31.682  < 2e-16 ***
ORIG_ID1413    1.8521126  0.0738057    25.094  < 2e-16 ***
ORIG_ID1414   -0.5807894  0.0793228    -7.322 2.45e-13 ***
ORIG_ID1415    0.9185685  0.0742869    12.365  < 2e-16 ***
ORIG_ID1416    0.2833732  0.0758420     3.736 0.000187 ***
ORIG_ID1417    0.2641064  0.0765834     3.449 0.000563 ***
ORIG_ID1418   -0.1885192  0.0804425    -2.344 0.019102 *  
ORIG_ID1419   -1.5328737  0.1240313   -12.359  < 2e-16 ***
ORIG_ID142    -0.0651167  0.1016463    -0.641 0.521769    
ORIG_ID1420   -0.5989208  0.1003615    -5.968 2.41e-09 ***
ORIG_ID1428   -1.8714841  0.1988047    -9.414  < 2e-16 ***
ORIG_ID1430    0.7811412  0.0759342    10.287  < 2e-16 ***
ORIG_ID1431   -0.5384906  0.0771198    -6.983 2.90e-12 ***
ORIG_ID1432    1.9192863  0.0735299    26.102  < 2e-16 ***
ORIG_ID1433    0.2685875  0.0811204     3.311 0.000930 ***
ORIG_ID1434    0.3833023  0.0753898     5.084 3.69e-07 ***
ORIG_ID1435    1.9511089  0.0738862    26.407  < 2e-16 ***
ORIG_ID1436    0.2612488  0.0760270     3.436 0.000590 ***
ORIG_ID1439    0.2057409  0.0801300     2.568 0.010241 *  
ORIG_ID1440   -0.6427462  0.1022344    -6.287 3.24e-10 ***
ORIG_ID1448    2.1944129  0.0749748    29.269  < 2e-16 ***
ORIG_ID1449    1.1904858  0.0738332    16.124  < 2e-16 ***
ORIG_ID1450    1.6469113  0.0737951    22.317  < 2e-16 ***
ORIG_ID1451    2.1793197  0.0735344    29.637  < 2e-16 ***
ORIG_ID1452    0.6794715  0.0743829     9.135  < 2e-16 ***
ORIG_ID1453    1.9272122  0.0735613    26.199  < 2e-16 ***
ORIG_ID1454    1.7132010  0.0747176    22.929  < 2e-16 ***
ORIG_ID1455    0.5381690  0.0751985     7.157 8.27e-13 ***
ORIG_ID1456    2.3213943  0.0737140    31.492  < 2e-16 ***
ORIG_ID1457    2.1138167  0.0739775    28.574  < 2e-16 ***
ORIG_ID1458   -0.4208697  0.1022752    -4.115 3.87e-05 ***
ORIG_ID1468    1.4666231  0.0763571    19.207  < 2e-16 ***
ORIG_ID1469    2.0096141  0.0735098    27.338  < 2e-16 ***
ORIG_ID1470    1.0920828  0.0742876    14.701  < 2e-16 ***
ORIG_ID1471    1.9284911  0.0736717    26.177  < 2e-16 ***
ORIG_ID1472    3.2291336  0.0733465    44.026  < 2e-16 ***
ORIG_ID1473    0.8816589  0.0742748    11.870  < 2e-16 ***
ORIG_ID1474    2.5528299  0.0734832    34.740  < 2e-16 ***
ORIG_ID1475    1.1768688  0.0746874    15.757  < 2e-16 ***
ORIG_ID1476    1.2929134  0.0746117    17.329  < 2e-16 ***
ORIG_ID1477   -1.6476895  0.1206410   -13.658  < 2e-16 ***
ORIG_ID1486   -0.3048776  0.0847486    -3.597 0.000321 ***
ORIG_ID1487    1.8143168  0.0735850    24.656  < 2e-16 ***
ORIG_ID1488    0.2192919  0.0773039     2.837 0.004558 ** 
ORIG_ID1489    1.4004548  0.0739506    18.938  < 2e-16 ***
ORIG_ID1490    0.7740363  0.0751366    10.302  < 2e-16 ***
ORIG_ID1491    1.4744360  0.0737201    20.000  < 2e-16 ***
ORIG_ID1492    1.6838870  0.0737083    22.845  < 2e-16 ***
ORIG_ID1493    2.2638376  0.0735770    30.768  < 2e-16 ***
ORIG_ID1494    2.2531279  0.0738492    30.510  < 2e-16 ***
ORIG_ID1506   -1.5133001  0.1181597   -12.807  < 2e-16 ***
ORIG_ID1507    2.2028595  0.0734821    29.978  < 2e-16 ***
ORIG_ID1508    1.1630147  0.0739845    15.720  < 2e-16 ***
ORIG_ID1509    1.6246015  0.0751882    21.607  < 2e-16 ***
ORIG_ID1510    1.6773182  0.0737043    22.757  < 2e-16 ***
ORIG_ID1512    2.4020181  0.0734728    32.693  < 2e-16 ***
ORIG_ID1513    2.6890398  0.0739306    36.373  < 2e-16 ***
ORIG_ID1514    1.9087927  0.0741908    25.728  < 2e-16 ***
ORIG_ID1524    1.0090897  0.0760165    13.275  < 2e-16 ***
ORIG_ID1525    1.7091188  0.0737102    23.187  < 2e-16 ***
ORIG_ID1526    1.6894417  0.0737074    22.921  < 2e-16 ***
ORIG_ID1527    1.4249725  0.0744536    19.139  < 2e-16 ***
ORIG_ID1528    1.0081535  0.0742356    13.580  < 2e-16 ***
ORIG_ID1529    0.4404822  0.0751659     5.860 4.62e-09 ***
ORIG_ID1530    0.8405125  0.0746263    11.263  < 2e-16 ***
ORIG_ID1531    1.9081591  0.0736611    25.905  < 2e-16 ***
ORIG_ID1532    1.2463061  0.0749212    16.635  < 2e-16 ***
ORIG_ID1544    1.6332483  0.0739549    22.084  < 2e-16 ***
ORIG_ID1545    1.4518335  0.0737206    19.694  < 2e-16 ***
ORIG_ID1546    1.9754347  0.0736008    26.840  < 2e-16 ***
ORIG_ID1547    1.3051675  0.0740427    17.627  < 2e-16 ***
ORIG_ID1548    2.1022802  0.0736309    28.552  < 2e-16 ***
ORIG_ID1549    2.7875061  0.0734438    37.954  < 2e-16 ***
ORIG_ID1550    2.5530357  0.0734254    34.770  < 2e-16 ***
ORIG_ID1551   -0.1113044  0.0768390    -1.449 0.147466    
ORIG_ID1552    2.4110914  0.0736812    32.723  < 2e-16 ***
ORIG_ID156     1.7786223  0.1136453    15.651  < 2e-16 ***
ORIG_ID1562   -2.6464342  0.2868812    -9.225  < 2e-16 ***
ORIG_ID1563    1.6079243  0.0738081    21.785  < 2e-16 ***
ORIG_ID1564    2.2322666  0.0734945    30.373  < 2e-16 ***
ORIG_ID1565    1.3492920  0.0739015    18.258  < 2e-16 ***
ORIG_ID1566   -0.2711126  0.0790896    -3.428 0.000608 ***
ORIG_ID1567    1.8331573  0.0737116    24.869  < 2e-16 ***
ORIG_ID1568    2.1114203  0.0735041    28.725  < 2e-16 ***
ORIG_ID1569    1.6077915  0.0737098    21.812  < 2e-16 ***
ORIG_ID1570    1.9174404  0.0736594    26.031  < 2e-16 ***
ORIG_ID1571    2.8715804  0.0744193    38.587  < 2e-16 ***
ORIG_ID158    -0.2570140  0.1117492    -2.300 0.021453 *  
ORIG_ID1582    0.8973302  0.0744435    12.054  < 2e-16 ***
ORIG_ID1583    2.4138947  0.0734415    32.868  < 2e-16 ***
ORIG_ID1584    1.1186917  0.0739699    15.124  < 2e-16 ***
ORIG_ID1585    0.4615187  0.0754309     6.118 9.45e-10 ***
ORIG_ID1587    2.1199382  0.0735741    28.814  < 2e-16 ***
ORIG_ID1588    2.9331152  0.0733787    39.972  < 2e-16 ***
ORIG_ID1589    2.0218762  0.0735681    27.483  < 2e-16 ***
ORIG_ID159    -0.1030994  0.0959131    -1.075 0.282408    
ORIG_ID1590    1.6767369  0.0738080    22.718  < 2e-16 ***
ORIG_ID1591   -1.0958932  0.0957810   -11.442  < 2e-16 ***
ORIG_ID160     1.3121645  0.0754199    17.398  < 2e-16 ***
ORIG_ID1600   -0.9703750  0.1676507    -5.788 7.12e-09 ***
ORIG_ID1601    1.2483811  0.0739091    16.891  < 2e-16 ***
ORIG_ID1602    2.0218799  0.0737903    27.400  < 2e-16 ***
ORIG_ID1603    0.7140052  0.0748710     9.536  < 2e-16 ***
ORIG_ID1604    2.5814901  0.0747744    34.524  < 2e-16 ***
ORIG_ID1606    1.9012759  0.0736122    25.828  < 2e-16 ***
ORIG_ID1607    1.3840276  0.0738643    18.737  < 2e-16 ***
ORIG_ID1608    3.0545421  0.0733827    41.625  < 2e-16 ***
ORIG_ID1609    1.9757355  0.0737324    26.796  < 2e-16 ***
ORIG_ID1610    1.5883303  0.0765655    20.745  < 2e-16 ***
ORIG_ID1620    2.4161541  0.0735202    32.864  < 2e-16 ***
ORIG_ID1621    2.1000938  0.0736121    28.529  < 2e-16 ***
ORIG_ID1622    1.5169714  0.0741673    20.453  < 2e-16 ***
ORIG_ID1623    1.1478046  0.0743309    15.442  < 2e-16 ***
ORIG_ID1624    0.9194434  0.0791995    11.609  < 2e-16 ***
ORIG_ID1625   -1.2370806  0.0920588   -13.438  < 2e-16 ***
ORIG_ID1626    2.0497107  0.0736502    27.830  < 2e-16 ***
ORIG_ID1627    2.0690290  0.0735711    28.123  < 2e-16 ***
ORIG_ID1628    1.9486230  0.0736126    26.471  < 2e-16 ***
ORIG_ID1629    1.0241613  0.0747985    13.692  < 2e-16 ***
ORIG_ID1630    0.3694740  0.0832164     4.440 9.00e-06 ***
ORIG_ID1639    1.5487370  0.0738317    20.977  < 2e-16 ***
ORIG_ID1640    2.5754638  0.0734142    35.081  < 2e-16 ***
ORIG_ID1641    2.0043098  0.0735866    27.237  < 2e-16 ***
ORIG_ID1645    1.8795266  0.0738737    25.442  < 2e-16 ***
ORIG_ID1646    1.8498422  0.0736598    25.113  < 2e-16 ***
ORIG_ID1647    3.0274348  0.0734167    41.236  < 2e-16 ***
ORIG_ID1648   -0.2750635  0.0861867    -3.191 0.001415 ** 
ORIG_ID1658    2.8731575  0.0734373    39.124  < 2e-16 ***
ORIG_ID1659    1.3875143  0.0738610    18.785  < 2e-16 ***
ORIG_ID1660    1.4530016  0.0737989    19.689  < 2e-16 ***
ORIG_ID1661    0.7020232  0.0749487     9.367  < 2e-16 ***
ORIG_ID1663   -1.0684349  0.1148193    -9.305  < 2e-16 ***
ORIG_ID1665    1.4401661  0.0742452    19.397  < 2e-16 ***
ORIG_ID1666    2.9670641  0.0734122    40.416  < 2e-16 ***
ORIG_ID1667    0.6300486  0.0773406     8.146 3.75e-16 ***
ORIG_ID1668    3.2024377  0.0750515    42.670  < 2e-16 ***
ORIG_ID1677    1.5566334  0.0737364    21.111  < 2e-16 ***
ORIG_ID1678    1.9409178  0.0736446    26.355  < 2e-16 ***
ORIG_ID1679    2.1015714  0.0736407    28.538  < 2e-16 ***
ORIG_ID1682    0.6779603  0.0815809     8.310  < 2e-16 ***
ORIG_ID1684    2.3762069  0.0750684    31.654  < 2e-16 ***
ORIG_ID1685    1.9209176  0.0737669    26.040  < 2e-16 ***
ORIG_ID1696    1.7481401  0.0739471    23.640  < 2e-16 ***
ORIG_ID1697    0.1213158  0.0766729     1.582 0.113592    
ORIG_ID1698    2.1272913  0.0760867    27.959  < 2e-16 ***
ORIG_ID1699    1.7799447  0.0737659    24.130  < 2e-16 ***
ORIG_ID1702   -0.4569133  0.0985165    -4.638 3.52e-06 ***
ORIG_ID1704    2.0321962  0.0737679    27.549  < 2e-16 ***
ORIG_ID1705    1.8926177  0.0754858    25.073  < 2e-16 ***
ORIG_ID1715    1.8274346  0.0737105    24.792  < 2e-16 ***
ORIG_ID1716    1.0023703  0.0742200    13.505  < 2e-16 ***
ORIG_ID1717    1.2342120  0.0744322    16.582  < 2e-16 ***
ORIG_ID1718   -2.2064565  0.1331226   -16.575  < 2e-16 ***
ORIG_ID1721   -0.6048374  0.1081604    -5.592 2.24e-08 ***
ORIG_ID1723    1.3784243  0.0753493    18.294  < 2e-16 ***
ORIG_ID1734   -1.5760392  0.1107877   -14.226  < 2e-16 ***
ORIG_ID1735    1.0772622  0.0742812    14.502  < 2e-16 ***
ORIG_ID1736    1.8413950  0.0739268    24.908  < 2e-16 ***
ORIG_ID1737    1.8558130  0.0737554    25.162  < 2e-16 ***
ORIG_ID1740    0.0930324  0.0897961     1.036 0.300183    
ORIG_ID1742    1.4857929  0.0752984    19.732  < 2e-16 ***
ORIG_ID1753    1.4350672  0.0741003    19.367  < 2e-16 ***
ORIG_ID1754    1.9461848  0.0735943    26.445  < 2e-16 ***
ORIG_ID1755    2.1282841  0.0736721    28.889  < 2e-16 ***
ORIG_ID1758   -0.4858923  0.0944710    -5.143 2.70e-07 ***
ORIG_ID177     0.6961807  0.0930182     7.484 7.19e-14 ***
ORIG_ID1772   -2.4248135  0.2169214   -11.178  < 2e-16 ***
ORIG_ID1773    1.1818881  0.0743907    15.888  < 2e-16 ***
ORIG_ID1774    3.5584441  0.0733227    48.531  < 2e-16 ***
ORIG_ID1775    1.1800906  0.0743433    15.874  < 2e-16 ***
ORIG_ID1776    1.9727524  0.0737321    26.756  < 2e-16 ***
ORIG_ID1778   -0.0602540  0.0940115    -0.641 0.521574    
ORIG_ID178    -0.1080496  0.0866215    -1.247 0.212260    
ORIG_ID179    -0.2283922  0.1428609    -1.599 0.109886    
ORIG_ID1791    1.2728977  0.0744419    17.099  < 2e-16 ***
ORIG_ID1792   -0.5553577  0.0775385    -7.162 7.93e-13 ***
ORIG_ID1793    1.5894769  0.0737255    21.559  < 2e-16 ***
ORIG_ID1794    0.9455652  0.0755466    12.516  < 2e-16 ***
ORIG_ID1795    1.9733442  0.0737151    26.770  < 2e-16 ***
ORIG_ID1796    0.8590677  0.0747426    11.494  < 2e-16 ***
ORIG_ID1797    1.1953489  0.0744695    16.052  < 2e-16 ***
ORIG_ID1811    1.5856455  0.0738967    21.458  < 2e-16 ***
ORIG_ID1812    1.9654514  0.0735366    26.728  < 2e-16 ***
ORIG_ID1813    1.8697551  0.0736821    25.376  < 2e-16 ***
ORIG_ID1814    2.5527159  0.0735177    34.722  < 2e-16 ***
ORIG_ID1815    1.9424935  0.0736970    26.358  < 2e-16 ***
ORIG_ID1816    1.3540143  0.0742350    18.240  < 2e-16 ***
ORIG_ID1817   -0.2717586  0.0816346    -3.329 0.000872 ***
ORIG_ID1830    2.0498084  0.0738726    27.748  < 2e-16 ***
ORIG_ID1831    2.2383006  0.0735246    30.443  < 2e-16 ***
ORIG_ID1832    1.8389945  0.0736327    24.975  < 2e-16 ***
ORIG_ID1833    1.4587115  0.0737493    19.779  < 2e-16 ***
ORIG_ID1834    0.1157293  0.0764206     1.514 0.129931    
ORIG_ID1835    2.3766136  0.0735938    32.294  < 2e-16 ***
ORIG_ID1849    1.2491519  0.0744345    16.782  < 2e-16 ***
ORIG_ID1850    1.7962426  0.0736720    24.382  < 2e-16 ***
ORIG_ID1851   -0.6381279  0.1009323    -6.322 2.58e-10 ***
ORIG_ID1852    2.3089055  0.0734467    31.436  < 2e-16 ***
ORIG_ID1853    1.3081733  0.0739723    17.685  < 2e-16 ***
ORIG_ID1854    1.6763829  0.0737669    22.725  < 2e-16 ***
ORIG_ID1855    0.8239115  0.0773478    10.652  < 2e-16 ***
ORIG_ID1868    1.8349764  0.0738116    24.860  < 2e-16 ***
ORIG_ID1869    0.8981684  0.0743964    12.073  < 2e-16 ***
ORIG_ID1870   -0.0045837  0.0813987    -0.056 0.955093    
ORIG_ID1871    3.5392051  0.0733297    48.264  < 2e-16 ***
ORIG_ID1872    1.2568623  0.0744703    16.877  < 2e-16 ***
ORIG_ID1873    1.7666114  0.0738561    23.920  < 2e-16 ***
ORIG_ID1887    0.9646223  0.0748792    12.882  < 2e-16 ***
ORIG_ID1888    2.1214465  0.0736507    28.804  < 2e-16 ***
ORIG_ID1889    1.3180619  0.0740492    17.800  < 2e-16 ***
ORIG_ID1890    1.6997691  0.0736099    23.092  < 2e-16 ***
ORIG_ID1891    1.1355657  0.0741781    15.309  < 2e-16 ***
ORIG_ID1892    3.0630083  0.0734016    41.729  < 2e-16 ***
ORIG_ID1893   -0.5970582  0.0950454    -6.282 3.35e-10 ***
ORIG_ID1905    0.3508278  0.1017216     3.449 0.000563 ***
ORIG_ID1906   -0.2568477  0.0779948    -3.293 0.000991 ***
ORIG_ID1907    1.0544613  0.0742676    14.198  < 2e-16 ***
ORIG_ID1908    2.0268721  0.0737001    27.502  < 2e-16 ***
ORIG_ID1909    1.4839480  0.0737162    20.131  < 2e-16 ***
ORIG_ID1910    0.6890530  0.0747510     9.218  < 2e-16 ***
ORIG_ID1911   -2.1266164  0.1199567   -17.728  < 2e-16 ***
ORIG_ID1926    0.9748235  0.0753963    12.929  < 2e-16 ***
ORIG_ID1927    0.4878898  0.0754415     6.467 9.99e-11 ***
ORIG_ID1928    2.2180701  0.0735084    30.174  < 2e-16 ***
ORIG_ID1929    2.2726135  0.0736870    30.841  < 2e-16 ***
ORIG_ID1930    1.6074536  0.0738505    21.766  < 2e-16 ***
ORIG_ID1944    1.6660371  0.0748826    22.249  < 2e-16 ***
ORIG_ID1945   -0.3615392  0.0796121    -4.541 5.59e-06 ***
ORIG_ID1946    1.9717683  0.0737523    26.735  < 2e-16 ***
ORIG_ID1947    2.3837964  0.0734837    32.440  < 2e-16 ***
ORIG_ID1948    2.5091942  0.0735156    34.131  < 2e-16 ***
ORIG_ID1949    1.8395613  0.0740079    24.856  < 2e-16 ***
ORIG_ID195     1.2095281  0.0940566    12.860  < 2e-16 ***
ORIG_ID196     1.2888419  0.0833114    15.470  < 2e-16 ***
ORIG_ID1965    1.1936451  0.0744073    16.042  < 2e-16 ***
ORIG_ID1966    1.0061830  0.0746775    13.474  < 2e-16 ***
ORIG_ID1967    1.3277640  0.0739078    17.965  < 2e-16 ***
ORIG_ID1968    1.8264752  0.0738971    24.716  < 2e-16 ***
ORIG_ID197     0.9146072  0.0787462    11.615  < 2e-16 ***
ORIG_ID1983    0.9222161  0.0761157    12.116  < 2e-16 ***
ORIG_ID1984    0.6093524  0.0757773     8.041 8.88e-16 ***
ORIG_ID1985    1.3570006  0.0742181    18.284  < 2e-16 ***
ORIG_ID1986    1.9145455  0.0737253    25.969  < 2e-16 ***
ORIG_ID1987    0.6358403  0.0829490     7.665 1.78e-14 ***
ORIG_ID2002   -0.6004944  0.1102982    -5.444 5.20e-08 ***
ORIG_ID2003   -0.7259765  0.0895803    -8.104 5.31e-16 ***
ORIG_ID2004    0.6495165  0.0793990     8.180 2.83e-16 ***
ORIG_ID2005    1.6085934  0.0742917    21.652  < 2e-16 ***
ORIG_ID2006    0.4849948  0.0764124     6.347 2.19e-10 ***
ORIG_ID2021    0.5058930  0.0836783     6.046 1.49e-09 ***
ORIG_ID2022    1.0398866  0.0825457    12.598  < 2e-16 ***
ORIG_ID2023    0.8738885  0.0770370    11.344  < 2e-16 ***
ORIG_ID2024   -0.3447146  0.0816035    -4.224 2.40e-05 ***
ORIG_ID2025   -0.1238299  0.0934467    -1.325 0.185125    
ORIG_ID2042   -0.3290175  0.0950432    -3.462 0.000537 ***
ORIG_ID2043    0.3224895  0.0811764     3.973 7.11e-05 ***
ORIG_ID2044    0.3636652  0.0774575     4.695 2.67e-06 ***
ORIG_ID2045    0.5628569  0.0891066     6.317 2.67e-10 ***
ORIG_ID2061    0.0440254  0.0972678     0.453 0.650822    
ORIG_ID2062    0.7758169  0.0796887     9.736  < 2e-16 ***
ORIG_ID2063    0.0968169  0.0803084     1.206 0.227985    
ORIG_ID2064   -1.1997109  0.1100326   -10.903  < 2e-16 ***
ORIG_ID2079    1.8189061  0.0751534    24.203  < 2e-16 ***
ORIG_ID2082   -1.8858559  0.1593556   -11.834  < 2e-16 ***
ORIG_ID2083   -0.3444422  0.0820239    -4.199 2.68e-05 ***
ORIG_ID2098   -0.7671187  0.0858371    -8.937  < 2e-16 ***
ORIG_ID2099    1.3376489  0.0743506    17.991  < 2e-16 ***
ORIG_ID2102    2.8197000  0.0740474    38.080  < 2e-16 ***
ORIG_ID2115    3.8301684  0.0752672    50.888  < 2e-16 ***
ORIG_ID2119    2.0768611  0.0740357    28.052  < 2e-16 ***
ORIG_ID2121    1.2133037  0.0755382    16.062  < 2e-16 ***
ORIG_ID2137    1.6885390  0.0755528    22.349  < 2e-16 ***
ORIG_ID2140    0.3690197  0.0842295     4.381 1.18e-05 ***
ORIG_ID215     0.5618637  0.1478962     3.799 0.000145 ***
ORIG_ID2153   -1.3359050  0.1002279   -13.329  < 2e-16 ***
ORIG_ID2158    1.7869238  0.0761919    23.453  < 2e-16 ***
ORIG_ID216    -0.6092364  0.1115781    -5.460 4.76e-08 ***
ORIG_ID217    -0.6947840  0.1764305    -3.938 8.22e-05 ***
ORIG_ID2177    1.6162252  0.0763818    21.160  < 2e-16 ***
ORIG_ID2178    0.4112638  0.0856179     4.803 1.56e-06 ***
ORIG_ID2196    1.6132311  0.0853738    18.896  < 2e-16 ***
ORIG_ID2197    1.4048488  0.0781434    17.978  < 2e-16 ***
ORIG_ID2267    0.1837011  0.1095959     1.676 0.093705 .  
ORIG_ID233     1.7649652  0.0848498    20.801  < 2e-16 ***
ORIG_ID234    -1.0552850  0.1111522    -9.494  < 2e-16 ***
ORIG_ID235     0.3741459  0.0876463     4.269 1.97e-05 ***
ORIG_ID252     3.6336413  0.0787312    46.153  < 2e-16 ***
ORIG_ID253     1.1204997  0.0833933    13.436  < 2e-16 ***
ORIG_ID254     0.4408375  0.0837600     5.263 1.42e-07 ***
ORIG_ID270    -0.5279570  0.2358884    -2.238 0.025210 *  
ORIG_ID271     1.0291429  0.0998459    10.307  < 2e-16 ***
ORIG_ID272     0.1959440  0.0912820     2.147 0.031827 *  
ORIG_ID290     2.1984032  0.0882325    24.916  < 2e-16 ***
ORIG_ID291     0.5957219  0.1164478     5.116 3.12e-07 ***
ORIG_ID292     0.0710989  0.1011804     0.703 0.482246    
ORIG_ID308     3.3174535  0.0801015    41.416  < 2e-16 ***
ORIG_ID309     1.3808214  0.0861497    16.028  < 2e-16 ***
ORIG_ID310     0.3435605  0.0869833     3.950 7.82e-05 ***
ORIG_ID329     1.7569600  0.0837797    20.971  < 2e-16 ***
ORIG_ID330     0.1027453  0.0847680     1.212 0.225483    
ORIG_ID347     2.0216344  0.0805549    25.096  < 2e-16 ***
ORIG_ID348     0.0053829  0.0913127     0.059 0.952992    
ORIG_ID349    -1.2129311  0.1243964    -9.751  < 2e-16 ***
ORIG_ID366     2.5576795  0.0827949    30.892  < 2e-16 ***
ORIG_ID367     1.2602588  0.0861326    14.632  < 2e-16 ***
ORIG_ID368     2.7802729  0.0734101    37.873  < 2e-16 ***
ORIG_ID369     1.1020723  0.0792902    13.899  < 2e-16 ***
ORIG_ID370     1.9788300  0.0752913    26.282  < 2e-16 ***
ORIG_ID385    -0.2063693  0.1290442    -1.599 0.109773    
ORIG_ID386     0.3229627  0.0855516     3.775 0.000160 ***
ORIG_ID387    -0.1316784  0.0802289    -1.641 0.100739    
ORIG_ID388     1.1371990  0.0773982    14.693  < 2e-16 ***
ORIG_ID389     1.0319634  0.0782035    13.196  < 2e-16 ***
ORIG_ID40     -1.3391327  0.1801077    -7.435 1.04e-13 ***
ORIG_ID404     0.8580146  0.0937589     9.151  < 2e-16 ***
ORIG_ID405    -0.5308054  0.1069614    -4.963 6.96e-07 ***
ORIG_ID406    -0.4870227  0.0877297    -5.551 2.83e-08 ***
ORIG_ID407     1.6890422  0.0743784    22.709  < 2e-16 ***
ORIG_ID408     0.9765679  0.0760299    12.845  < 2e-16 ***
ORIG_ID42      0.6576025  0.0991381     6.633 3.29e-11 ***
ORIG_ID424     1.2175057  0.0805968    15.106  < 2e-16 ***
ORIG_ID425    -0.0498026  0.0794334    -0.627 0.530677    
ORIG_ID426     2.4373924  0.0736329    33.102  < 2e-16 ***
ORIG_ID427     2.2250431  0.0751242    29.618  < 2e-16 ***
ORIG_ID442     0.5757038  0.1001634     5.748 9.05e-09 ***
ORIG_ID443    -2.7663814  0.3103494    -8.914  < 2e-16 ***
ORIG_ID444     1.2313262  0.0760685    16.187  < 2e-16 ***
ORIG_ID445     0.8447687  0.0748472    11.287  < 2e-16 ***
ORIG_ID447    -2.0162950  0.1820646   -11.075  < 2e-16 ***
ORIG_ID448     1.5529058  0.0794868    19.537  < 2e-16 ***
ORIG_ID461     0.9985606  0.0852728    11.710  < 2e-16 ***
ORIG_ID462     1.2318141  0.0779148    15.810  < 2e-16 ***
ORIG_ID463     0.0220263  0.0777204     0.283 0.776867    
ORIG_ID464     2.5900352  0.0734215    35.276  < 2e-16 ***
ORIG_ID465    -0.4043409  0.0888132    -4.553 5.30e-06 ***
ORIG_ID466     0.2979955  0.0906659     3.287 0.001014 ** 
ORIG_ID467    -0.4566026  0.1291225    -3.536 0.000406 ***
ORIG_ID480     0.1797652  0.1097698     1.638 0.101493    
ORIG_ID481     1.2922702  0.0799264    16.168  < 2e-16 ***
ORIG_ID482     0.3752927  0.0784686     4.783 1.73e-06 ***
ORIG_ID483     2.3660376  0.0734234    32.225  < 2e-16 ***
ORIG_ID484     2.6620822  0.0734880    36.225  < 2e-16 ***
ORIG_ID486     0.6510981  0.0833852     7.808 5.80e-15 ***
ORIG_ID487    -0.7020452  0.1425363    -4.925 8.42e-07 ***
ORIG_ID488    -2.1330391  0.3103072    -6.874 6.24e-12 ***
ORIG_ID499     0.2513213  0.1018492     2.468 0.013603 *  
ORIG_ID500     0.1779572  0.0900269     1.977 0.048074 *  
ORIG_ID501    -0.4042626  0.0777611    -5.199 2.01e-07 ***
ORIG_ID502     1.9566128  0.0735194    26.614  < 2e-16 ***
ORIG_ID503     1.6336283  0.0749930    21.784  < 2e-16 ***
ORIG_ID507     0.7375095  0.1031900     7.147 8.86e-13 ***
ORIG_ID508    -0.3033443  0.1475318    -2.056 0.039770 *  
ORIG_ID518    -0.6977024  0.1452228    -4.804 1.55e-06 ***
ORIG_ID519     0.7143589  0.0859377     8.313  < 2e-16 ***
ORIG_ID520     1.1081563  0.1110956     9.975  < 2e-16 ***
ORIG_ID521     4.0686241  0.0732192    55.568  < 2e-16 ***
ORIG_ID522     1.8932325  0.0737253    25.680  < 2e-16 ***
ORIG_ID524    -1.9021351  0.1708406   -11.134  < 2e-16 ***
ORIG_ID528    -0.0710341  0.1364461    -0.521 0.602644    
ORIG_ID529     0.7301320  0.1100692     6.633 3.28e-11 ***
ORIG_ID530     1.1760000  0.1037974    11.330  < 2e-16 ***
ORIG_ID537    -0.3855680  0.1212900    -3.179 0.001478 ** 
ORIG_ID538     0.4535153  0.0858585     5.282 1.28e-07 ***
ORIG_ID539     0.1257635  0.0764641     1.645 0.100024    
ORIG_ID540     1.5227599  0.0736399    20.678  < 2e-16 ***
ORIG_ID541    -0.8483165  0.1145567    -7.405 1.31e-13 ***
ORIG_ID547    -0.3556326  0.1558601    -2.282 0.022505 *  
ORIG_ID548    -0.0886313  0.1472013    -0.602 0.547101    
ORIG_ID557    -0.6201326  0.0993330    -6.243 4.29e-10 ***
ORIG_ID558    -0.0460519  0.0822425    -0.560 0.575511    
ORIG_ID559    -0.8152058  0.0806104   -10.113  < 2e-16 ***
ORIG_ID560     2.3170332  0.0734927    31.527  < 2e-16 ***
ORIG_ID562    -0.1122694  0.0861530    -1.303 0.192527    
ORIG_ID577    -0.5924803  0.0850274    -6.968 3.21e-12 ***
ORIG_ID578     2.1538288  0.0734878    29.309  < 2e-16 ***
ORIG_ID595     0.9412682  0.0780613    12.058  < 2e-16 ***
ORIG_ID596     1.2242845  0.0745485    16.423  < 2e-16 ***
ORIG_ID597     1.5645332  0.0738536    21.184  < 2e-16 ***
ORIG_ID598     3.0085983  0.0733376    41.024  < 2e-16 ***
ORIG_ID60      0.5515879  0.2302069     2.396 0.016573 *  
ORIG_ID600     3.1070013  0.0741108    41.924  < 2e-16 ***
ORIG_ID61      1.2029635  0.0814246    14.774  < 2e-16 ***
ORIG_ID613     1.5239814  0.0793119    19.215  < 2e-16 ***
ORIG_ID614    -1.1330288  0.0999629   -11.334  < 2e-16 ***
ORIG_ID615     2.7004054  0.0734693    36.756  < 2e-16 ***
ORIG_ID616     2.7111207  0.0734276    36.922  < 2e-16 ***
ORIG_ID617     1.1322822  0.0752876    15.039  < 2e-16 ***
ORIG_ID62      0.4339237  0.1590036     2.729 0.006352 ** 
ORIG_ID633     1.0290120  0.0773864    13.297  < 2e-16 ***
ORIG_ID634     2.0175438  0.0738251    27.329  < 2e-16 ***
ORIG_ID635     1.2286513  0.0743660    16.522  < 2e-16 ***
ORIG_ID636     2.6580125  0.0734046    36.210  < 2e-16 ***
ORIG_ID638     0.0175698  0.0824217     0.213 0.831195    
ORIG_ID654     0.0332544  0.0771819     0.431 0.666572    
ORIG_ID657    -0.2654196  0.0848416    -3.128 0.001758 ** 
ORIG_ID662    -0.6908291  0.1301058    -5.310 1.10e-07 ***
ORIG_ID671     0.6829072  0.0788439     8.662  < 2e-16 ***
ORIG_ID673    -0.1096740  0.0772172    -1.420 0.155511    
ORIG_ID674     2.1299925  0.0735832    28.947  < 2e-16 ***
ORIG_ID682     1.2352856  0.0866419    14.257  < 2e-16 ***
ORIG_ID689     1.2668960  0.0782183    16.197  < 2e-16 ***
ORIG_ID690     1.7290679  0.0744791    23.215  < 2e-16 ***
ORIG_ID691    -0.7699491  0.0815955    -9.436  < 2e-16 ***
ORIG_ID692     2.8274212  0.0733775    38.533  < 2e-16 ***
ORIG_ID693     1.3635196  0.0749418    18.194  < 2e-16 ***
ORIG_ID695     2.8865918  0.0736063    39.217  < 2e-16 ***
ORIG_ID700     1.2686103  0.0827224    15.336  < 2e-16 ***
ORIG_ID710    -1.2149497  0.0845278   -14.373  < 2e-16 ***
ORIG_ID711     1.6948855  0.0736422    23.015  < 2e-16 ***
ORIG_ID712     1.0815901  0.0741732    14.582  < 2e-16 ***
ORIG_ID713     1.6981182  0.0745748    22.771  < 2e-16 ***
ORIG_ID714     2.0319570  0.0740535    27.439  < 2e-16 ***
ORIG_ID715     0.7039227  0.0759035     9.274  < 2e-16 ***
ORIG_ID727    -0.5256543  0.0957152    -5.492 3.98e-08 ***
ORIG_ID728     2.5540047  0.0736570    34.674  < 2e-16 ***
ORIG_ID729     2.7944298  0.0733934    38.075  < 2e-16 ***
ORIG_ID730     1.8586089  0.0736308    25.242  < 2e-16 ***
ORIG_ID731     2.6119925  0.0736788    35.451  < 2e-16 ***
ORIG_ID732     0.6460573  0.0775607     8.330  < 2e-16 ***
ORIG_ID733     2.4856883  0.0735063    33.816  < 2e-16 ***
ORIG_ID734     1.6987103  0.0740606    22.937  < 2e-16 ***
ORIG_ID738     0.9863047  0.0821937    12.000  < 2e-16 ***
ORIG_ID746     0.4843753  0.0840333     5.764 8.21e-09 ***
ORIG_ID748    -0.2037905  0.0767205    -2.656 0.007901 ** 
ORIG_ID749     1.9953843  0.0735850    27.117  < 2e-16 ***
ORIG_ID750     2.2216951  0.0735005    30.227  < 2e-16 ***
ORIG_ID751     2.0248051  0.0737888    27.441  < 2e-16 ***
ORIG_ID752     1.7992195  0.0740697    24.291  < 2e-16 ***
ORIG_ID753     3.5917471  0.0733415    48.973  < 2e-16 ***
ORIG_ID754     2.9430636  0.0736472    39.962  < 2e-16 ***
ORIG_ID757    -0.4428214  0.1066996    -4.150 3.32e-05 ***
ORIG_ID764    -0.4735174  0.1091532    -4.338 1.44e-05 ***
ORIG_ID766     1.7688909  0.0738735    23.945  < 2e-16 ***
ORIG_ID767     1.7231164  0.0738277    23.340  < 2e-16 ***
ORIG_ID768     1.5963508  0.0737679    21.640  < 2e-16 ***
ORIG_ID769     0.7244027  0.0746209     9.708  < 2e-16 ***
ORIG_ID770     2.0249548  0.0736861    27.481  < 2e-16 ***
ORIG_ID771     2.1318486  0.0735864    28.971  < 2e-16 ***
ORIG_ID772     1.6018850  0.0740420    21.635  < 2e-16 ***
ORIG_ID773     3.4602761  0.0736638    46.974  < 2e-16 ***
ORIG_ID774     0.1584474  0.0921301     1.720 0.085465 .  
ORIG_ID775    -0.8304050  0.1092086    -7.604 2.87e-14 ***
ORIG_ID776     1.1744626  0.0802304    14.639  < 2e-16 ***
ORIG_ID78     -0.5761583  0.1010028    -5.704 1.17e-08 ***
ORIG_ID784     1.1511552  0.0783826    14.686  < 2e-16 ***
ORIG_ID785     0.8350763  0.0752744    11.094  < 2e-16 ***
ORIG_ID786     0.8655016  0.0751577    11.516  < 2e-16 ***
ORIG_ID787     2.1516096  0.0742861    28.964  < 2e-16 ***
ORIG_ID788     3.0348997  0.0733478    41.377  < 2e-16 ***
ORIG_ID789     2.8733227  0.0737015    38.986  < 2e-16 ***
ORIG_ID79      1.6002682  0.1374452    11.643  < 2e-16 ***
ORIG_ID790     0.2676489  0.0761563     3.514 0.000441 ***
ORIG_ID791     0.7145296  0.0750799     9.517  < 2e-16 ***
ORIG_ID792     0.5461314  0.0752312     7.259 3.89e-13 ***
ORIG_ID793    -0.7555855  0.1116991    -6.764 1.34e-11 ***
ORIG_ID794    -1.2247180  0.1045633   -11.713  < 2e-16 ***
ORIG_ID795     0.9155356  0.0788512    11.611  < 2e-16 ***
ORIG_ID80      2.2650934  0.0733091    30.898  < 2e-16 ***
ORIG_ID803     0.5189051  0.0765164     6.782 1.19e-11 ***
ORIG_ID804     1.0618144  0.0745772    14.238  < 2e-16 ***
ORIG_ID805    -1.0465742  0.0884791   -11.828  < 2e-16 ***
ORIG_ID806     2.3446779  0.0735059    31.898  < 2e-16 ***
ORIG_ID807     1.0102596  0.0758539    13.318  < 2e-16 ***
ORIG_ID809     2.2164690  0.0735351    30.142  < 2e-16 ***
ORIG_ID81     -0.2174129  0.1782906    -1.219 0.222681    
ORIG_ID810    -0.0531908  0.0772318    -0.689 0.491002    
ORIG_ID811     0.3752646  0.0781965     4.799 1.59e-06 ***
ORIG_ID812    -0.9657760  0.0918125   -10.519  < 2e-16 ***
ORIG_ID813    -1.1233601  0.0910133   -12.343  < 2e-16 ***
ORIG_ID814     0.3980470  0.0835621     4.763 1.90e-06 ***
ORIG_ID82      0.6649726  0.1297146     5.126 2.95e-07 ***
ORIG_ID822     1.3942210  0.0775907    17.969  < 2e-16 ***
ORIG_ID823     1.3987226  0.0738749    18.934  < 2e-16 ***
ORIG_ID824    -1.3531573  0.0888163   -15.235  < 2e-16 ***
ORIG_ID825     1.4758160  0.0742039    19.889  < 2e-16 ***
ORIG_ID826     2.2066112  0.0735652    29.995  < 2e-16 ***
ORIG_ID829     1.9306896  0.0736518    26.214  < 2e-16 ***
ORIG_ID831     2.3180121  0.0740103    31.320  < 2e-16 ***
ORIG_ID832    -0.6782895  0.0833796    -8.135 4.12e-16 ***
ORIG_ID833     0.1087448  0.0778533     1.397 0.162476    
ORIG_ID840     0.7755299  0.0761632    10.182  < 2e-16 ***
ORIG_ID841     1.6302822  0.0737499    22.106  < 2e-16 ***
ORIG_ID842     2.8176963  0.0733633    38.407  < 2e-16 ***
ORIG_ID843    -0.6192905  0.0831085    -7.452 9.22e-14 ***
ORIG_ID844    -0.0538703  0.0835370    -0.645 0.519013    
ORIG_ID845     1.7560112  0.0740586    23.711  < 2e-16 ***
ORIG_ID846    -1.1374422  0.0859730   -13.230  < 2e-16 ***
ORIG_ID847     3.5078198  0.0733236    47.840  < 2e-16 ***
ORIG_ID850    -2.7463004  0.2979719    -9.217  < 2e-16 ***
ORIG_ID851     3.3513058  0.0735327    45.576  < 2e-16 ***
ORIG_ID852    -2.3433334  0.1177501   -19.901  < 2e-16 ***
ORIG_ID859     0.8690604  0.0755011    11.511  < 2e-16 ***
ORIG_ID860     2.7792620  0.0735264    37.799  < 2e-16 ***
ORIG_ID861     3.1800688  0.0733384    43.362  < 2e-16 ***
ORIG_ID862     0.1675269  0.0790816     2.118 0.034141 *  
ORIG_ID863     1.0658038  0.0752548    14.163  < 2e-16 ***
ORIG_ID864    -0.5002811  0.0796563    -6.280 3.37e-10 ***
ORIG_ID865     2.1590160  0.0737203    29.287  < 2e-16 ***
ORIG_ID866    -0.0465658  0.0764305    -0.609 0.542354    
ORIG_ID867     1.9702243  0.0738500    26.679  < 2e-16 ***
ORIG_ID869    -0.0554823  0.0949795    -0.584 0.559119    
ORIG_ID871    -1.1396444  0.0844766   -13.491  < 2e-16 ***
ORIG_ID878     1.4032937  0.0741158    18.934  < 2e-16 ***
ORIG_ID879     2.0353663  0.0735182    27.685  < 2e-16 ***
ORIG_ID880     1.8037963  0.0736769    24.483  < 2e-16 ***
ORIG_ID882     1.2927778  0.0744507    17.364  < 2e-16 ***
ORIG_ID883     0.6360937  0.0754878     8.426  < 2e-16 ***
ORIG_ID884     0.3885466  0.0758348     5.124 3.00e-07 ***
ORIG_ID885     2.2966690  0.0735305    31.234  < 2e-16 ***
ORIG_ID886     1.9265801  0.0743590    25.909  < 2e-16 ***
ORIG_ID890    -0.6913383  0.0786810    -8.787  < 2e-16 ***
ORIG_ID891     3.7614707  0.0736217    51.092  < 2e-16 ***
ORIG_ID897     1.5518055  0.0742643    20.896  < 2e-16 ***
ORIG_ID898     1.6395887  0.0739569    22.170  < 2e-16 ***
ORIG_ID899     0.6407421  0.0745761     8.592  < 2e-16 ***
ORIG_ID900     0.4761161  0.0755195     6.305 2.89e-10 ***
ORIG_ID901     2.3364319  0.0736221    31.735  < 2e-16 ***
ORIG_ID902     1.1147288  0.0746603    14.931  < 2e-16 ***
ORIG_ID903    -0.1200305  0.0858529    -1.398 0.162084    
ORIG_ID904     2.5762207  0.0735516    35.026  < 2e-16 ***
ORIG_ID905     2.2782338  0.0738537    30.848  < 2e-16 ***
ORIG_ID907     0.2411642  0.0853465     2.826 0.004718 ** 
ORIG_ID909     2.5724281  0.0735353    34.982  < 2e-16 ***
ORIG_ID910     2.5943680  0.0735520    35.273  < 2e-16 ***
ORIG_ID915     0.1665227  0.0801692     2.077 0.037789 *  
ORIG_ID916     1.0855209  0.0764634    14.197  < 2e-16 ***
ORIG_ID917     0.6897887  0.0753958     9.149  < 2e-16 ***
ORIG_ID918     0.6725844  0.0752600     8.937  < 2e-16 ***
ORIG_ID919    -0.2235520  0.0782913    -2.855 0.004298 ** 
ORIG_ID920     2.2618559  0.0736855    30.696  < 2e-16 ***
ORIG_ID922     1.2760271  0.0755413    16.892  < 2e-16 ***
ORIG_ID923     2.9726229  0.0736188    40.379  < 2e-16 ***
ORIG_ID927     1.1476092  0.0753045    15.240  < 2e-16 ***
ORIG_ID928     2.1591085  0.0737301    29.284  < 2e-16 ***
ORIG_ID929    -0.9401177  0.0869324   -10.814  < 2e-16 ***
ORIG_ID935     1.1604127  0.0747284    15.528  < 2e-16 ***
ORIG_ID936     1.5475276  0.0740774    20.891  < 2e-16 ***
ORIG_ID937     1.7527254  0.0738904    23.721  < 2e-16 ***
ORIG_ID938     0.8667040  0.0749703    11.561  < 2e-16 ***
ORIG_ID939     1.6247441  0.0738392    22.004  < 2e-16 ***
ORIG_ID945     1.8747858  0.0759961    24.670  < 2e-16 ***
ORIG_ID947     2.1638147  0.0736047    29.398  < 2e-16 ***
ORIG_ID948     1.9286427  0.0737809    26.140  < 2e-16 ***
ORIG_ID953     1.6296495  0.0742393    21.951  < 2e-16 ***
ORIG_ID954     0.7802543  0.0751274    10.386  < 2e-16 ***
ORIG_ID955     1.9374051  0.0737800    26.259  < 2e-16 ***
ORIG_ID956     1.2066578  0.0745454    16.187  < 2e-16 ***
ORIG_ID964    -0.6079583  0.1581151    -3.845 0.000121 ***
ORIG_ID966     2.3311172  0.0735704    31.686  < 2e-16 ***
ORIG_ID967     1.5101888  0.0748502    20.176  < 2e-16 ***
ORIG_ID972     1.5249375  0.0743773    20.503  < 2e-16 ***
ORIG_ID973    -0.3132950  0.0799757    -3.917 8.95e-05 ***
ORIG_ID974     0.8010667  0.0746963    10.724  < 2e-16 ***
ORIG_ID975     0.8958214  0.0751090    11.927  < 2e-16 ***
ORIG_ID977     1.7156346  0.0739479    23.201  < 2e-16 ***
ORIG_ID983    -1.7451914  0.1267300   -13.771  < 2e-16 ***
ORIG_ID985     1.3906369  0.0741224    18.761  < 2e-16 ***
ORIG_ID986     0.0917987  0.0761777     1.205 0.228180    
ORIG_ID99      0.4800481  0.1065132     4.507 6.58e-06 ***
ORIG_ID990    -0.8798370  0.1089763    -8.074 6.82e-16 ***
ORIG_ID991    -0.3786281  0.0912016    -4.152 3.30e-05 ***
ORIG_ID992     0.6164995  0.0860509     7.164 7.82e-13 ***
ORIG_ID993     2.6009658  0.0734640    35.405  < 2e-16 ***
ORIG_ID994     0.1299505  0.0790228     1.644 0.100079    
ORIG_ID995     1.6185563  0.0740092    21.870  < 2e-16 ***
DESTIN_ID1001  5.8501662  0.2909254    20.109  < 2e-16 ***
DESTIN_ID1002  1.2170247  0.3166293     3.844 0.000121 ***
DESTIN_ID1003  4.4667747  0.2908740    15.356  < 2e-16 ***
DESTIN_ID1004  7.0682976  0.2903873    24.341  < 2e-16 ***
DESTIN_ID1005  3.5750041  0.2913193    12.272  < 2e-16 ***
DESTIN_ID101   6.0015003  0.2900185    20.694  < 2e-16 ***
DESTIN_ID1010  3.7806127  0.2911355    12.986  < 2e-16 ***
DESTIN_ID1011  3.4905786  0.2915705    11.972  < 2e-16 ***
DESTIN_ID1012  3.5824701  0.2912385    12.301  < 2e-16 ***
DESTIN_ID1013  4.2001651  0.2907086    14.448  < 2e-16 ***
DESTIN_ID1014  3.7497453  0.2912419    12.875  < 2e-16 ***
DESTIN_ID102  -0.7257838  0.3505059    -2.071 0.038389 *  
DESTIN_ID1023  4.8262524  0.2905310    16.612  < 2e-16 ***
DESTIN_ID1024  4.7719315  0.2905055    16.426  < 2e-16 ***
DESTIN_ID1025  4.9680174  0.2907480    17.087  < 2e-16 ***
DESTIN_ID1028  3.5198747  0.2914158    12.079  < 2e-16 ***
DESTIN_ID1030  2.7898739  0.2933744     9.510  < 2e-16 ***
DESTIN_ID1031  5.0161319  0.2904778    17.269  < 2e-16 ***
DESTIN_ID1033  4.4899385  0.2906204    15.449  < 2e-16 ***
DESTIN_ID1040  1.4404841  0.3125775     4.608 4.06e-06 ***
DESTIN_ID1041  3.5392632  0.2916580    12.135  < 2e-16 ***
DESTIN_ID1042  4.9366325  0.2904680    16.995  < 2e-16 ***
DESTIN_ID1043  4.0020631  0.2907817    13.763  < 2e-16 ***
DESTIN_ID1048  3.3975672  0.2911973    11.668  < 2e-16 ***
DESTIN_ID1049  4.6358849  0.2905484    15.956  < 2e-16 ***
DESTIN_ID1050  5.5680319  0.2904322    19.172  < 2e-16 ***
DESTIN_ID1061  5.4222756  0.2904982    18.665  < 2e-16 ***
DESTIN_ID1062  6.0259597  0.2904242    20.749  < 2e-16 ***
DESTIN_ID1063  3.0641775  0.2917313    10.503  < 2e-16 ***
DESTIN_ID1066  4.5679684  0.2906158    15.718  < 2e-16 ***
DESTIN_ID1067  5.2179949  0.2904644    17.964  < 2e-16 ***
DESTIN_ID1068  5.4000778  0.2904418    18.593  < 2e-16 ***
DESTIN_ID1069  4.3998966  0.2905897    15.141  < 2e-16 ***
DESTIN_ID1071  3.4464468  0.2912670    11.833  < 2e-16 ***
DESTIN_ID1078  3.6794996  0.2941918    12.507  < 2e-16 ***
DESTIN_ID1080  4.7765423  0.2905572    16.439  < 2e-16 ***
DESTIN_ID1081  4.3486446  0.2906505    14.962  < 2e-16 ***
DESTIN_ID1082  2.9038823  0.2924967     9.928  < 2e-16 ***
DESTIN_ID1086  4.4246037  0.2906518    15.223  < 2e-16 ***
DESTIN_ID1087  5.0235999  0.2904945    17.293  < 2e-16 ***
DESTIN_ID1089  4.6196497  0.2905951    15.897  < 2e-16 ***
DESTIN_ID1090  3.9589810  0.2908319    13.613  < 2e-16 ***
DESTIN_ID1097  1.3024575  0.3668561     3.550 0.000385 ***
DESTIN_ID1100  4.9185950  0.2905305    16.930  < 2e-16 ***
DESTIN_ID1101  0.3516404  0.3249791     1.082 0.279235    
DESTIN_ID1102  2.6333917  0.2948262     8.932  < 2e-16 ***
DESTIN_ID1104  5.1641291  0.2904888    17.777  < 2e-16 ***
DESTIN_ID1105  5.0890999  0.2904661    17.520  < 2e-16 ***
DESTIN_ID1106  4.5142410  0.2909024    15.518  < 2e-16 ***
DESTIN_ID1107  4.1026829  0.2907879    14.109  < 2e-16 ***
DESTIN_ID1108  4.2548578  0.2906991    14.637  < 2e-16 ***
DESTIN_ID1115  2.4173309  0.2989852     8.085 6.21e-16 ***
DESTIN_ID1116  3.0835512  0.2982783    10.338  < 2e-16 ***
DESTIN_ID1119  2.4830495  0.2920935     8.501  < 2e-16 ***
DESTIN_ID1120  3.5630331  0.2913648    12.229  < 2e-16 ***
DESTIN_ID1123  3.7096207  0.2909118    12.752  < 2e-16 ***
DESTIN_ID1124  4.4295346  0.2906058    15.242  < 2e-16 ***
DESTIN_ID1125  5.0666026  0.2904756    17.442  < 2e-16 ***
DESTIN_ID1128  4.7275215  0.2905624    16.270  < 2e-16 ***
DESTIN_ID1138  3.7098627  0.2909120    12.753  < 2e-16 ***
DESTIN_ID1139  4.4182391  0.2907592    15.196  < 2e-16 ***
DESTIN_ID1140  3.6426136  0.2916040    12.492  < 2e-16 ***
DESTIN_ID1142  3.4219002  0.2910851    11.756  < 2e-16 ***
DESTIN_ID1143  5.3604143  0.2904314    18.457  < 2e-16 ***
DESTIN_ID1144  4.0132931  0.2908533    13.798  < 2e-16 ***
DESTIN_ID1145  4.0956895  0.2908607    14.081  < 2e-16 ***
DESTIN_ID1146  4.3919217  0.2907002    15.108  < 2e-16 ***
DESTIN_ID1147  3.8029512  0.2912936    13.055  < 2e-16 ***
DESTIN_ID1152  0.7161443  0.3326829     2.153 0.031348 *  
DESTIN_ID1153  3.9811819  0.2910759    13.677  < 2e-16 ***
DESTIN_ID1157  5.4149194  0.2904659    18.642  < 2e-16 ***
DESTIN_ID1158  3.0629977  0.2914928    10.508  < 2e-16 ***
DESTIN_ID116   5.9172922  0.2911423    20.324  < 2e-16 ***
DESTIN_ID1161  6.7190323  0.2903924    23.138  < 2e-16 ***
DESTIN_ID1162  5.0984061  0.2904735    17.552  < 2e-16 ***
DESTIN_ID1163  5.5901829  0.2904303    19.248  < 2e-16 ***
DESTIN_ID1164  3.7354395  0.2911404    12.830  < 2e-16 ***
DESTIN_ID1167  2.4501465  0.2968989     8.252  < 2e-16 ***
DESTIN_ID117  -2.0674275  0.4301235    -4.807 1.54e-06 ***
DESTIN_ID1171  1.6977409  0.3025249     5.612 2.00e-08 ***
DESTIN_ID1172  5.1863076  0.2906347    17.845  < 2e-16 ***
DESTIN_ID1173  3.4689738  0.2916482    11.894  < 2e-16 ***
DESTIN_ID1176  4.2042855  0.2906758    14.464  < 2e-16 ***
DESTIN_ID1177  4.8367221  0.2905977    16.644  < 2e-16 ***
DESTIN_ID118   0.9370284  0.3137619     2.986 0.002823 ** 
DESTIN_ID1180  5.3680953  0.2904644    18.481  < 2e-16 ***
DESTIN_ID1181  5.0616151  0.2904487    17.427  < 2e-16 ***
DESTIN_ID1183  3.7389005  0.2921554    12.798  < 2e-16 ***
DESTIN_ID1184  4.8524470  0.2905290    16.702  < 2e-16 ***
DESTIN_ID1186  1.2840564  0.3249518     3.952 7.77e-05 ***
DESTIN_ID119   1.9067542  0.3061928     6.227 4.75e-10 ***
DESTIN_ID1192  2.2453021  0.2938222     7.642 2.14e-14 ***
DESTIN_ID1193  2.9284172  0.2914145    10.049  < 2e-16 ***
DESTIN_ID1194  2.4609797  0.2922856     8.420  < 2e-16 ***
DESTIN_ID1195  5.8973781  0.2904345    20.305  < 2e-16 ***
DESTIN_ID1196  3.5532215  0.2914460    12.192  < 2e-16 ***
DESTIN_ID1198  5.6913883  0.2910386    19.555  < 2e-16 ***
DESTIN_ID1199  3.2797672  0.2911990    11.263  < 2e-16 ***
DESTIN_ID120   2.0840180  0.3030439     6.877 6.11e-12 ***
DESTIN_ID1200  5.0142205  0.2904689    17.263  < 2e-16 ***
DESTIN_ID1201  4.9072154  0.2904812    16.893  < 2e-16 ***
DESTIN_ID1202  4.3421129  0.2905989    14.942  < 2e-16 ***
DESTIN_ID1203  4.3888102  0.2907597    15.094  < 2e-16 ***
DESTIN_ID1204  5.3303004  0.2906343    18.340  < 2e-16 ***
DESTIN_ID1205  0.3453731  0.3700682     0.933 0.350681    
DESTIN_ID1207  3.6969050  0.2912406    12.694  < 2e-16 ***
DESTIN_ID1208  3.9599487  0.2910949    13.604  < 2e-16 ***
DESTIN_ID1209  3.7003948  0.2914091    12.698  < 2e-16 ***
DESTIN_ID121   0.9868337  0.3065557     3.219 0.001286 ** 
DESTIN_ID1210  1.8191421  0.3122120     5.827 5.66e-09 ***
DESTIN_ID1211  2.7682741  0.2932026     9.442  < 2e-16 ***
DESTIN_ID1212  0.4588603  0.3053676     1.503 0.132930    
DESTIN_ID1213  5.7400101  0.2904311    19.764  < 2e-16 ***
DESTIN_ID1214  5.0333693  0.2905441    17.324  < 2e-16 ***
DESTIN_ID1215  0.8531310  0.3701081     2.305 0.021162 *  
DESTIN_ID1218  4.4331458  0.2906989    15.250  < 2e-16 ***
DESTIN_ID1219  6.2020438  0.2904059    21.356  < 2e-16 ***
DESTIN_ID122   5.1237866  0.2904936    17.638  < 2e-16 ***
DESTIN_ID1220  4.9929748  0.2904789    17.189  < 2e-16 ***
DESTIN_ID1221  5.6610785  0.2904502    19.491  < 2e-16 ***
DESTIN_ID1222  3.5709008  0.2914325    12.253  < 2e-16 ***
DESTIN_ID1225  5.1738433  0.2904984    17.810  < 2e-16 ***
DESTIN_ID1226  3.0758405  0.2915599    10.550  < 2e-16 ***
DESTIN_ID1227  4.1371954  0.2908293    14.226  < 2e-16 ***
DESTIN_ID1229  2.5495427  0.2950015     8.642  < 2e-16 ***
DESTIN_ID1230  5.7164579  0.2904459    19.682  < 2e-16 ***
DESTIN_ID1231  4.3606380  0.2905548    15.008  < 2e-16 ***
DESTIN_ID1232  3.9397241  0.2906597    13.554  < 2e-16 ***
DESTIN_ID1233  5.2190643  0.2905269    17.964  < 2e-16 ***
DESTIN_ID1234  1.4889369  0.3158032     4.715 2.42e-06 ***
DESTIN_ID1238  4.0873354  0.2906550    14.062  < 2e-16 ***
DESTIN_ID1239  3.9938427  0.2906572    13.741  < 2e-16 ***
DESTIN_ID1240  6.2730792  0.2903909    21.602  < 2e-16 ***
DESTIN_ID1241  4.1937232  0.2907094    14.426  < 2e-16 ***
DESTIN_ID1242  2.9536641  0.2918606    10.120  < 2e-16 ***
DESTIN_ID1243  2.2720445  0.2939477     7.729 1.08e-14 ***
DESTIN_ID1244  3.6664372  0.2908991    12.604  < 2e-16 ***
DESTIN_ID1245  5.0277751  0.2905970    17.302  < 2e-16 ***
DESTIN_ID1246  3.4813803  0.2916606    11.936  < 2e-16 ***
DESTIN_ID1249  2.6632095  0.2939931     9.059  < 2e-16 ***
DESTIN_ID1250  5.8649006  0.2904192    20.195  < 2e-16 ***
DESTIN_ID1251  6.2383774  0.2904036    21.482  < 2e-16 ***
DESTIN_ID1252  5.2127833  0.2905089    17.944  < 2e-16 ***
DESTIN_ID1253  2.7362410  0.2923965     9.358  < 2e-16 ***
DESTIN_ID1256  4.6468548  0.2905410    15.994  < 2e-16 ***
DESTIN_ID1257  4.2289257  0.2905896    14.553  < 2e-16 ***
DESTIN_ID1258  4.6999006  0.2905186    16.178  < 2e-16 ***
DESTIN_ID1259  5.1276617  0.2904782    17.652  < 2e-16 ***
DESTIN_ID1260  3.9203881  0.2926294    13.397  < 2e-16 ***
DESTIN_ID1261  2.7573423  0.2919986     9.443  < 2e-16 ***
DESTIN_ID1262  4.9255438  0.2904990    16.955  < 2e-16 ***
DESTIN_ID1263  4.7867347  0.2905102    16.477  < 2e-16 ***
DESTIN_ID1264  5.1427701  0.2904855    17.704  < 2e-16 ***
DESTIN_ID1265  4.9108409  0.2905246    16.903  < 2e-16 ***
DESTIN_ID1266  3.8891284  0.2913123    13.350  < 2e-16 ***
DESTIN_ID1268  4.2544749  0.2907208    14.634  < 2e-16 ***
DESTIN_ID1269  5.4444348  0.2904237    18.747  < 2e-16 ***
DESTIN_ID1270  4.5846899  0.2905275    15.781  < 2e-16 ***
DESTIN_ID1272  5.4687172  0.2911045    18.786  < 2e-16 ***
DESTIN_ID1276  5.4361612  0.2904316    18.718  < 2e-16 ***
DESTIN_ID1277  4.3335771  0.2906091    14.912  < 2e-16 ***
DESTIN_ID1278  5.9756883  0.2904006    20.577  < 2e-16 ***
DESTIN_ID1279  4.9537022  0.2904894    17.053  < 2e-16 ***
DESTIN_ID1280  4.1896007  0.2906023    14.417  < 2e-16 ***
DESTIN_ID1281  4.1419693  0.2906538    14.251  < 2e-16 ***
DESTIN_ID1282  4.2154056  0.2906418    14.504  < 2e-16 ***
DESTIN_ID1283  4.1291324  0.2906087    14.209  < 2e-16 ***
DESTIN_ID1284  4.8177460  0.2905097    16.584  < 2e-16 ***
DESTIN_ID1285  4.3016081  0.2906914    14.798  < 2e-16 ***
DESTIN_ID1288  4.4172335  0.2905640    15.202  < 2e-16 ***
DESTIN_ID1289  4.8810010  0.2905039    16.802  < 2e-16 ***
DESTIN_ID1294  4.9406125  0.2905592    17.004  < 2e-16 ***
DESTIN_ID1295  6.5470249  0.2903880    22.546  < 2e-16 ***
DESTIN_ID1296  5.5747568  0.2904159    19.196  < 2e-16 ***
DESTIN_ID1297  3.3647524  0.2915257    11.542  < 2e-16 ***
DESTIN_ID1298  5.4558936  0.2904379    18.785  < 2e-16 ***
DESTIN_ID1299  4.8837311  0.2904683    16.813  < 2e-16 ***
DESTIN_ID1300  2.4541023  0.2923534     8.394  < 2e-16 ***
DESTIN_ID1301  5.0784863  0.2904670    17.484  < 2e-16 ***
DESTIN_ID1302  5.5066223  0.2904162    18.961  < 2e-16 ***
DESTIN_ID1303  5.6015529  0.2904342    19.287  < 2e-16 ***
DESTIN_ID1304  2.7647277  0.2927502     9.444  < 2e-16 ***
DESTIN_ID1306  3.7000150  0.2909888    12.715  < 2e-16 ***
DESTIN_ID1307  4.7594081  0.2905205    16.382  < 2e-16 ***
DESTIN_ID1308  3.9704840  0.2910080    13.644  < 2e-16 ***
DESTIN_ID1314  4.9346638  0.2904905    16.987  < 2e-16 ***
DESTIN_ID1315  5.1878952  0.2904475    17.862  < 2e-16 ***
DESTIN_ID1316  4.4220666  0.2906432    15.215  < 2e-16 ***
DESTIN_ID1317  3.9901500  0.2907492    13.724  < 2e-16 ***
DESTIN_ID1318  4.9191346  0.2904895    16.934  < 2e-16 ***
DESTIN_ID1319  5.5106309  0.2904457    18.973  < 2e-16 ***
DESTIN_ID1320  6.3401994  0.2903928    21.833  < 2e-16 ***
DESTIN_ID1321  4.3872881  0.2905274    15.101  < 2e-16 ***
DESTIN_ID1322  5.1287427  0.2904466    17.658  < 2e-16 ***
DESTIN_ID1323  3.4988248  0.2912898    12.011  < 2e-16 ***
DESTIN_ID1326  4.8774882  0.2905350    16.788  < 2e-16 ***
DESTIN_ID1327  4.2819800  0.2906953    14.730  < 2e-16 ***
DESTIN_ID1332  3.8579756  0.2910459    13.256  < 2e-16 ***
DESTIN_ID1333  4.5232895  0.2905519    15.568  < 2e-16 ***
DESTIN_ID1334  5.7501565  0.2904031    19.801  < 2e-16 ***
DESTIN_ID1335  5.7579593  0.2904093    19.827  < 2e-16 ***
DESTIN_ID1336  4.4875642  0.2905507    15.445  < 2e-16 ***
DESTIN_ID1337  6.5006292  0.2903820    22.386  < 2e-16 ***
DESTIN_ID1338  4.0904900  0.2905903    14.076  < 2e-16 ***
DESTIN_ID1339  4.0732963  0.2905830    14.018  < 2e-16 ***
DESTIN_ID1340  6.3723302  0.2903879    21.944  < 2e-16 ***
DESTIN_ID1341  3.1320385  0.2913450    10.750  < 2e-16 ***
DESTIN_ID1342  3.3768274  0.2917572    11.574  < 2e-16 ***
DESTIN_ID1345  3.7026102  0.2909220    12.727  < 2e-16 ***
DESTIN_ID1352  3.8782693  0.2908625    13.334  < 2e-16 ***
DESTIN_ID1353  5.0341421  0.2904617    17.332  < 2e-16 ***
DESTIN_ID1354  6.1659417  0.2903904    21.233  < 2e-16 ***
DESTIN_ID1355  5.1616269  0.2904588    17.771  < 2e-16 ***
DESTIN_ID1356  4.9023543  0.2904802    16.877  < 2e-16 ***
DESTIN_ID1357  5.1808755  0.2904327    17.838  < 2e-16 ***
DESTIN_ID1358  4.9645222  0.2905590    17.086  < 2e-16 ***
DESTIN_ID1359  5.0448305  0.2904481    17.369  < 2e-16 ***
DESTIN_ID136   4.1638067  0.2974839    13.997  < 2e-16 ***
DESTIN_ID1360  4.8499266  0.2904843    16.696  < 2e-16 ***
DESTIN_ID1364  1.6258309  0.3483773     4.667 3.06e-06 ***
DESTIN_ID137   0.8058904  0.3279109     2.458 0.013985 *  
DESTIN_ID1370 -0.7531239  1.0432525    -0.722 0.470356    
DESTIN_ID1371  4.2569593  0.2917953    14.589  < 2e-16 ***
DESTIN_ID1372  5.7843532  0.2904063    19.918  < 2e-16 ***
DESTIN_ID1373  5.5492163  0.2904485    19.106  < 2e-16 ***
DESTIN_ID1374  4.5874702  0.2905282    15.790  < 2e-16 ***
DESTIN_ID1375  5.0207105  0.2905211    17.282  < 2e-16 ***
DESTIN_ID1376  4.4793211  0.2905298    15.418  < 2e-16 ***
DESTIN_ID1377  2.4948504  0.2918308     8.549  < 2e-16 ***
DESTIN_ID1378  5.3889202  0.2904359    18.555  < 2e-16 ***
DESTIN_ID1379  4.0247438  0.2911471    13.824  < 2e-16 ***
DESTIN_ID138   2.8626290  0.3193364     8.964  < 2e-16 ***
DESTIN_ID1380  4.2254285  0.2909415    14.523  < 2e-16 ***
DESTIN_ID1383  2.8976956  0.2925571     9.905  < 2e-16 ***
DESTIN_ID1389  4.6775788  0.2963652    15.783  < 2e-16 ***
DESTIN_ID139   3.1214232  0.3024186    10.322  < 2e-16 ***
DESTIN_ID1390  4.3244680  0.2911993    14.851  < 2e-16 ***
DESTIN_ID1391  5.1132948  0.2904815    17.603  < 2e-16 ***
DESTIN_ID1392  5.4476141  0.2904249    18.757  < 2e-16 ***
DESTIN_ID1393  4.9621275  0.2904523    17.084  < 2e-16 ***
DESTIN_ID1394  4.8659629  0.2904637    16.752  < 2e-16 ***
DESTIN_ID1395  5.5189739  0.2905633    18.994  < 2e-16 ***
DESTIN_ID1396  3.3956955  0.2914214    11.652  < 2e-16 ***
DESTIN_ID1397  3.7082808  0.2931740    12.649  < 2e-16 ***
DESTIN_ID1398  4.3020733  0.2907921    14.794  < 2e-16 ***
DESTIN_ID140   1.9667823  0.3070710     6.405 1.50e-10 ***
DESTIN_ID1401  1.8820099  0.3009597     6.253 4.02e-10 ***
DESTIN_ID1408  4.5604121  0.2944867    15.486  < 2e-16 ***
DESTIN_ID1409  5.1400139  0.2906589    17.684  < 2e-16 ***
DESTIN_ID141   3.4019746  0.2918200    11.658  < 2e-16 ***
DESTIN_ID1410  4.5905875  0.2914615    15.750  < 2e-16 ***
DESTIN_ID1411  5.4239009  0.2904265    18.676  < 2e-16 ***
DESTIN_ID1412  5.5903705  0.2904180    19.249  < 2e-16 ***
DESTIN_ID1413  4.8513878  0.2905394    16.698  < 2e-16 ***
DESTIN_ID1414  2.1966625  0.2928348     7.501 6.32e-14 ***
DESTIN_ID1415  4.0410074  0.2906391    13.904  < 2e-16 ***
DESTIN_ID1416  2.8481703  0.2914475     9.772  < 2e-16 ***
DESTIN_ID1417  3.0625161  0.2914084    10.509  < 2e-16 ***
DESTIN_ID1418  2.8310190  0.2922397     9.687  < 2e-16 ***
DESTIN_ID1419  0.4986276  0.3297322     1.512 0.130478    
DESTIN_ID142   2.4987204  0.3086094     8.097 5.65e-16 ***
DESTIN_ID1420  1.4833385  0.3053791     4.857 1.19e-06 ***
DESTIN_ID1428  4.7937973  0.2998767    15.986  < 2e-16 ***
DESTIN_ID1430  3.7731652  0.2910942    12.962  < 2e-16 ***
DESTIN_ID1431  2.8155129  0.2913483     9.664  < 2e-16 ***
DESTIN_ID1432  5.0737897  0.2904441    17.469  < 2e-16 ***
DESTIN_ID1433  3.9702751  0.2916960    13.611  < 2e-16 ***
DESTIN_ID1434  3.8497360  0.2908537    13.236  < 2e-16 ***
DESTIN_ID1435  4.9697377  0.2905299    17.106  < 2e-16 ***
DESTIN_ID1436  2.7867426  0.2915775     9.557  < 2e-16 ***
DESTIN_ID1439  2.8959991  0.2925865     9.898  < 2e-16 ***
DESTIN_ID1440  2.2591654  0.3007627     7.511 5.85e-14 ***
DESTIN_ID1448  5.1287448  0.2909572    17.627  < 2e-16 ***
DESTIN_ID1449  4.4678002  0.2905224    15.379  < 2e-16 ***
DESTIN_ID1450  4.8198667  0.2905132    16.591  < 2e-16 ***
DESTIN_ID1451  5.5530398  0.2904374    19.120  < 2e-16 ***
DESTIN_ID1452  3.9040531  0.2906707    13.431  < 2e-16 ***
DESTIN_ID1453  4.9566680  0.2904623    17.065  < 2e-16 ***
DESTIN_ID1454  4.8069936  0.2907314    16.534  < 2e-16 ***
DESTIN_ID1455  3.0154517  0.2911946    10.355  < 2e-16 ***
DESTIN_ID1456  5.1134721  0.2905033    17.602  < 2e-16 ***
DESTIN_ID1457  5.0508692  0.2905573    17.383  < 2e-16 ***
DESTIN_ID1458  2.3601665  0.3004137     7.856 3.95e-15 ***
DESTIN_ID1468  4.9986338  0.2909416    17.181  < 2e-16 ***
DESTIN_ID1469  5.4253252  0.2904222    18.681  < 2e-16 ***
DESTIN_ID1470  4.0332611  0.2906956    13.875  < 2e-16 ***
DESTIN_ID1471  5.2165374  0.2904647    17.959  < 2e-16 ***
DESTIN_ID1472  6.7071783  0.2903835    23.098  < 2e-16 ***
DESTIN_ID1473  3.8094985  0.2906737    13.106  < 2e-16 ***
DESTIN_ID1474  5.6000747  0.2904363    19.282  < 2e-16 ***
DESTIN_ID1475  3.8265876  0.2908305    13.157  < 2e-16 ***
DESTIN_ID1476  4.0486315  0.2907745    13.924  < 2e-16 ***
DESTIN_ID1477  1.1418093  0.3060588     3.731 0.000191 ***
DESTIN_ID1486  2.8792208  0.2933490     9.815  < 2e-16 ***
DESTIN_ID1487  5.0043853  0.2904712    17.229  < 2e-16 ***
DESTIN_ID1488  3.9450783  0.2908963    13.562  < 2e-16 ***
DESTIN_ID1489  4.4807752  0.2905559    15.421  < 2e-16 ***
DESTIN_ID1490  4.2108173  0.2907899    14.481  < 2e-16 ***
DESTIN_ID1491  4.6616012  0.2904821    16.048  < 2e-16 ***
DESTIN_ID1492  4.6071104  0.2904996    15.859  < 2e-16 ***
DESTIN_ID1493  4.8798111  0.2904750    16.799  < 2e-16 ***
DESTIN_ID1494  5.1471860  0.2905166    17.717  < 2e-16 ***
DESTIN_ID1506  1.5531083  0.3080356     5.042 4.61e-07 ***
DESTIN_ID1507  5.3734643  0.2904279    18.502  < 2e-16 ***
DESTIN_ID1508  4.2783582  0.2905617    14.724  < 2e-16 ***
DESTIN_ID1509  3.2368637  0.2933241    11.035  < 2e-16 ***
DESTIN_ID1510  4.8235986  0.2904848    16.605  < 2e-16 ***
DESTIN_ID1512  5.3214789  0.2904317    18.323  < 2e-16 ***
DESTIN_ID1513  5.4797065  0.2905975    18.857  < 2e-16 ***
DESTIN_ID1514  4.5949703  0.2906803    15.808  < 2e-16 ***
DESTIN_ID1524  3.9375460  0.2912149    13.521  < 2e-16 ***
DESTIN_ID1525  4.8465906  0.2904994    16.684  < 2e-16 ***
DESTIN_ID1526  4.6154185  0.2905131    15.887  < 2e-16 ***
DESTIN_ID1527  4.4645191  0.2907085    15.357  < 2e-16 ***
DESTIN_ID1528  3.6785703  0.2907730    12.651  < 2e-16 ***
DESTIN_ID1529  3.4768486  0.2908632    11.954  < 2e-16 ***
DESTIN_ID1530  3.7389468  0.2907640    12.859  < 2e-16 ***
DESTIN_ID1531  4.8451219  0.2904777    16.680  < 2e-16 ***
DESTIN_ID1532  3.9935088  0.2908524    13.730  < 2e-16 ***
DESTIN_ID1544  4.6527036  0.2905955    16.011  < 2e-16 ***
DESTIN_ID1545  4.4915343  0.2905115    15.461  < 2e-16 ***
DESTIN_ID1546  4.8728825  0.2904764    16.775  < 2e-16 ***
DESTIN_ID1547  4.4575137  0.2905616    15.341  < 2e-16 ***
DESTIN_ID1548  5.0035358  0.2904849    17.225  < 2e-16 ***
DESTIN_ID1549  5.9659656  0.2904112    20.543  < 2e-16 ***
DESTIN_ID1550  5.3702374  0.2904240    18.491  < 2e-16 ***
DESTIN_ID1551  3.2682838  0.2910570    11.229  < 2e-16 ***
DESTIN_ID1552  5.1154928  0.2905139    17.608  < 2e-16 ***
DESTIN_ID156   3.3708506  0.3269422    10.310  < 2e-16 ***
DESTIN_ID1562  0.9422309  0.3256933     2.893 0.003816 ** 
DESTIN_ID1563  4.9512242  0.2904958    17.044  < 2e-16 ***
DESTIN_ID1564  5.3121135  0.2904350    18.290  < 2e-16 ***
DESTIN_ID1565  4.5058316  0.2905244    15.509  < 2e-16 ***
DESTIN_ID1566  2.4689590  0.2928050     8.432  < 2e-16 ***
DESTIN_ID1567  4.7561095  0.2905034    16.372  < 2e-16 ***
DESTIN_ID1568  5.0631761  0.2904381    17.433  < 2e-16 ***
DESTIN_ID1569  4.5253475  0.2905052    15.578  < 2e-16 ***
DESTIN_ID1570  5.1451587  0.2904567    17.714  < 2e-16 ***
DESTIN_ID1571  5.5865395  0.2907866    19.212  < 2e-16 ***
DESTIN_ID158   2.2311338  0.3186669     7.001 2.53e-12 ***
DESTIN_ID1582  4.0400609  0.2907176    13.897  < 2e-16 ***
DESTIN_ID1583  5.8278565  0.2904019    20.068  < 2e-16 ***
DESTIN_ID1584  4.3428949  0.2905445    14.947  < 2e-16 ***
DESTIN_ID1585  3.2607992  0.2910845    11.202  < 2e-16 ***
DESTIN_ID1587  5.1581872  0.2904514    17.759  < 2e-16 ***
DESTIN_ID1588  6.2803172  0.2903904    21.627  < 2e-16 ***
DESTIN_ID1589  5.3136596  0.2904305    18.296  < 2e-16 ***
DESTIN_ID159   5.1740419  0.2905978    17.805  < 2e-16 ***
DESTIN_ID1590  4.6221223  0.2905127    15.910  < 2e-16 ***
DESTIN_ID1591  1.9333067  0.2967125     6.516 7.23e-11 ***
DESTIN_ID160   1.8953718  0.3000244     6.317 2.66e-10 ***
DESTIN_ID1600  1.8375752  0.3035482     6.054 1.42e-09 ***
DESTIN_ID1601  4.4635396  0.2905415    15.363  < 2e-16 ***
DESTIN_ID1602  4.6671895  0.2905053    16.066  < 2e-16 ***
DESTIN_ID1603  4.0971067  0.2907258    14.093  < 2e-16 ***
DESTIN_ID1604  5.4715299  0.2907866    18.816  < 2e-16 ***
DESTIN_ID1606  4.5848750  0.2905139    15.782  < 2e-16 ***
DESTIN_ID1607  4.2682606  0.2905570    14.690  < 2e-16 ***
DESTIN_ID1608  6.2398388  0.2903959    21.487  < 2e-16 ***
DESTIN_ID1609  4.8124013  0.2905195    16.565  < 2e-16 ***
DESTIN_ID1610  4.1391953  0.2917712    14.186  < 2e-16 ***
DESTIN_ID1620  5.6752824  0.2904368    19.541  < 2e-16 ***
DESTIN_ID1621  5.1935932  0.2904638    17.880  < 2e-16 ***
DESTIN_ID1622  4.6176885  0.2906613    15.887  < 2e-16 ***
DESTIN_ID1623  3.8011853  0.2907876    13.072  < 2e-16 ***
DESTIN_ID1624  1.0881262  0.3151615     3.453 0.000555 ***
DESTIN_ID1625  2.0501907  0.2954397     6.939 3.94e-12 ***
DESTIN_ID1626  4.9436225  0.2904865    17.018  < 2e-16 ***
DESTIN_ID1627  4.9965341  0.2904583    17.202  < 2e-16 ***
DESTIN_ID1628  4.9572629  0.2904661    17.067  < 2e-16 ***
DESTIN_ID1629  4.1302734  0.2907299    14.207  < 2e-16 ***
DESTIN_ID1630  4.0627175  0.2931962    13.857  < 2e-16 ***
DESTIN_ID1639  4.6496519  0.2905322    16.004  < 2e-16 ***
DESTIN_ID1640  5.7419158  0.2904072    19.772  < 2e-16 ***
DESTIN_ID1641  5.0270791  0.2904602    17.307  < 2e-16 ***
DESTIN_ID1645  4.7108646  0.2905599    16.213  < 2e-16 ***
DESTIN_ID1646  4.7069742  0.2904852    16.204  < 2e-16 ***
DESTIN_ID1647  6.2632038  0.2904009    21.567  < 2e-16 ***
DESTIN_ID1648  2.7965019  0.2927620     9.552  < 2e-16 ***
DESTIN_ID1658  6.1930753  0.2904092    21.325  < 2e-16 ***
DESTIN_ID1659  4.3651024  0.2905574    15.023  < 2e-16 ***
DESTIN_ID1660  4.4023834  0.2905349    15.153  < 2e-16 ***
DESTIN_ID1661  3.5596804  0.2909670    12.234  < 2e-16 ***
DESTIN_ID1663  1.5661358  0.3083358     5.079 3.79e-07 ***
DESTIN_ID1665  4.2654383  0.2906602    14.675  < 2e-16 ***
DESTIN_ID1666  5.9534372  0.2904103    20.500  < 2e-16 ***
DESTIN_ID1667  3.5758287  0.2914554    12.269  < 2e-16 ***
DESTIN_ID1668  5.7466723  0.2910093    19.747  < 2e-16 ***
DESTIN_ID1677  4.7024963  0.2905020    16.187  < 2e-16 ***
DESTIN_ID1678  4.9899924  0.2904717    17.179  < 2e-16 ***
DESTIN_ID1679  5.2167163  0.2904678    17.960  < 2e-16 ***
DESTIN_ID1682  2.2355043  0.3003325     7.443 9.81e-14 ***
DESTIN_ID1684  5.0565356  0.2910187    17.375  < 2e-16 ***
DESTIN_ID1685  4.6798683  0.2905351    16.108  < 2e-16 ***
DESTIN_ID1696  5.0776300  0.2905262    17.477  < 2e-16 ***
DESTIN_ID1697  3.0868048  0.2915858    10.586  < 2e-16 ***
DESTIN_ID1698  4.9756317  0.2912274    17.085  < 2e-16 ***
DESTIN_ID1699  4.8857500  0.2905074    16.818  < 2e-16 ***
DESTIN_ID1702  1.4254838  0.3217913     4.430 9.43e-06 ***
DESTIN_ID1704  4.9618403  0.2905081    17.080  < 2e-16 ***
DESTIN_ID1705  4.5790916  0.2911390    15.728  < 2e-16 ***
DESTIN_ID1715  4.6481606  0.2905426    15.998  < 2e-16 ***
DESTIN_ID1716  3.9950901  0.2906678    13.745  < 2e-16 ***
DESTIN_ID1717  3.6584124  0.2909281    12.575  < 2e-16 ***
DESTIN_ID1718  1.0956402  0.3102060     3.532 0.000412 ***
DESTIN_ID1721  1.6723561  0.3169322     5.277 1.32e-07 ***
DESTIN_ID1723  4.2202869  0.2909556    14.505  < 2e-16 ***
DESTIN_ID1734  2.7501674  0.2979855     9.229  < 2e-16 ***
DESTIN_ID1735  4.1003467  0.2906707    14.107  < 2e-16 ***
DESTIN_ID1736  5.0487800  0.2905343    17.378  < 2e-16 ***
DESTIN_ID1737  5.2853982  0.2904655    18.196  < 2e-16 ***
DESTIN_ID1740  2.5265236  0.2986987     8.458  < 2e-16 ***
DESTIN_ID1742  4.3123015  0.2909743    14.820  < 2e-16 ***
DESTIN_ID1753  4.5760667  0.2905947    15.747  < 2e-16 ***
DESTIN_ID1754  4.9881397  0.2904684    17.173  < 2e-16 ***
DESTIN_ID1755  5.1209376  0.2904921    17.628  < 2e-16 ***
DESTIN_ID1758  2.2332433  0.2997627     7.450 9.33e-14 ***
DESTIN_ID177   1.0482111  0.4204562     2.493 0.012666 *  
DESTIN_ID1772  1.5355997  0.3212522     4.780 1.75e-06 ***
DESTIN_ID1773  4.2804146  0.2906947    14.725  < 2e-16 ***
DESTIN_ID1774  6.8090763  0.2903829    23.449  < 2e-16 ***
DESTIN_ID1775  4.2728091  0.2906712    14.700  < 2e-16 ***
DESTIN_ID1776  4.9213498  0.2905152    16.940  < 2e-16 ***
DESTIN_ID1778  2.2589506  0.3055154     7.394 1.43e-13 ***
DESTIN_ID178   2.1839952  0.3003228     7.272 3.54e-13 ***
DESTIN_ID179   0.6308392  0.3431416     1.838 0.066000 .  
DESTIN_ID1791  4.4222325  0.2907006    15.212  < 2e-16 ***
DESTIN_ID1792  2.6712511  0.2914050     9.167  < 2e-16 ***
DESTIN_ID1793  4.7315586  0.2905173    16.287  < 2e-16 ***
DESTIN_ID1794  3.5263968  0.2913131    12.105  < 2e-16 ***
DESTIN_ID1795  4.9566584  0.2905106    17.062  < 2e-16 ***
DESTIN_ID1796  3.8430071  0.2908872    13.211  < 2e-16 ***
DESTIN_ID1797  4.3466687  0.2907000    14.952  < 2e-16 ***
DESTIN_ID1811  4.6286348  0.2905580    15.930  < 2e-16 ***
DESTIN_ID1812  5.0634974  0.2904456    17.434  < 2e-16 ***
DESTIN_ID1813  5.2004679  0.2904597    17.904  < 2e-16 ***
DESTIN_ID1814  5.5006366  0.2904522    18.938  < 2e-16 ***
DESTIN_ID1815  4.9180064  0.2905200    16.928  < 2e-16 ***
DESTIN_ID1816  5.3266752  0.2904929    18.337  < 2e-16 ***
DESTIN_ID1817  2.8001364  0.2930845     9.554  < 2e-16 ***
DESTIN_ID1830  4.9921243  0.2905767    17.180  < 2e-16 ***
DESTIN_ID1831  5.4084777  0.2904430    18.621  < 2e-16 ***
DESTIN_ID1832  4.9712620  0.2904670    17.115  < 2e-16 ***
DESTIN_ID1833  4.6805042  0.2904949    16.112  < 2e-16 ***
DESTIN_ID1834  3.7702597  0.2909401    12.959  < 2e-16 ***
DESTIN_ID1835  5.3813791  0.2904738    18.526  < 2e-16 ***
DESTIN_ID1849  4.3762730  0.2906952    15.055  < 2e-16 ***
DESTIN_ID1850  4.9922686  0.2904783    17.186  < 2e-16 ***
DESTIN_ID1851  2.4026142  0.2942506     8.165 3.21e-16 ***
DESTIN_ID1852  5.6862707  0.2904103    19.580  < 2e-16 ***
DESTIN_ID1853  4.4775119  0.2905469    15.411  < 2e-16 ***
DESTIN_ID1854  4.7317948  0.2905306    16.287  < 2e-16 ***
DESTIN_ID1855  2.7520192  0.2928233     9.398  < 2e-16 ***
DESTIN_ID1868  4.9182445  0.2905298    16.929  < 2e-16 ***
DESTIN_ID1869  4.1554435  0.2906586    14.297  < 2e-16 ***
DESTIN_ID1870  2.3874126  0.2939381     8.122 4.58e-16 ***
DESTIN_ID1871  6.9927894  0.2903824    24.081  < 2e-16 ***
DESTIN_ID1872  4.6380706  0.2906568    15.957  < 2e-16 ***
DESTIN_ID1873  4.8496510  0.2905535    16.691  < 2e-16 ***
DESTIN_ID1887  4.2282606  0.2907547    14.542  < 2e-16 ***
DESTIN_ID1888  5.7246596  0.2904363    19.711  < 2e-16 ***
DESTIN_ID1889  4.5417339  0.2905691    15.630  < 2e-16 ***
DESTIN_ID1890  4.7740865  0.2904763    16.435  < 2e-16 ***
DESTIN_ID1891  4.0730169  0.2906988    14.011  < 2e-16 ***
DESTIN_ID1892  6.5514298  0.2903960    22.560  < 2e-16 ***
DESTIN_ID1893  3.3850083  0.2936677    11.527  < 2e-16 ***
DESTIN_ID1905  3.8509890  0.3009549    12.796  < 2e-16 ***
DESTIN_ID1906  2.7656340  0.2919035     9.474  < 2e-16 ***
DESTIN_ID1907  3.9657118  0.2907357    13.640  < 2e-16 ***
DESTIN_ID1908  5.4211429  0.2904662    18.664  < 2e-16 ***
DESTIN_ID1909  4.6112109  0.2904967    15.874  < 2e-16 ***
DESTIN_ID1910  3.8365627  0.2908179    13.192  < 2e-16 ***
DESTIN_ID1911  1.8275826  0.2986765     6.119 9.42e-10 ***
DESTIN_ID1926  4.0756269  0.2910323    14.004  < 2e-16 ***
DESTIN_ID1927  3.8438343  0.2913152    13.195  < 2e-16 ***
DESTIN_ID1928  5.3140385  0.2904424    18.296  < 2e-16 ***
DESTIN_ID1929  5.2903087  0.2905027    18.211  < 2e-16 ***
DESTIN_ID1930  5.0362333  0.2904897    17.337  < 2e-16 ***
DESTIN_ID1944  4.5534964  0.2909811    15.649  < 2e-16 ***
DESTIN_ID1945  2.5935303  0.2928600     8.856  < 2e-16 ***
DESTIN_ID1946  5.1849460  0.2905016    17.848  < 2e-16 ***
DESTIN_ID1947  5.7751292  0.2904173    19.886  < 2e-16 ***
DESTIN_ID1948  5.4560154  0.2904559    18.784  < 2e-16 ***
DESTIN_ID1949  4.7639099  0.2906214    16.392  < 2e-16 ***
DESTIN_ID195   2.4957834  0.3351421     7.447 9.55e-14 ***
DESTIN_ID196   4.8780922  0.2911896    16.752  < 2e-16 ***
DESTIN_ID1965  4.8228831  0.2905665    16.598  < 2e-16 ***
DESTIN_ID1966  3.9930785  0.2908058    13.731  < 2e-16 ***
DESTIN_ID1967  4.3453050  0.2905696    14.954  < 2e-16 ***
DESTIN_ID1968  4.7976110  0.2905674    16.511  < 2e-16 ***
DESTIN_ID197   3.3460638  0.2952403    11.333  < 2e-16 ***
DESTIN_ID1983  4.3782758  0.2910108    15.045  < 2e-16 ***
DESTIN_ID1984  3.6433692  0.2913444    12.505  < 2e-16 ***
DESTIN_ID1985  4.2104700  0.2907113    14.483  < 2e-16 ***
DESTIN_ID1986  4.9679544  0.2905059    17.101  < 2e-16 ***
DESTIN_ID1987  3.5241720  0.2940552    11.985  < 2e-16 ***
DESTIN_ID2002  3.0521797  0.2969312    10.279  < 2e-16 ***
DESTIN_ID2003  2.0814940  0.2970167     7.008 2.42e-12 ***
DESTIN_ID2004  2.8751754  0.2946825     9.757  < 2e-16 ***
DESTIN_ID2005  4.5837435  0.2906786    15.769  < 2e-16 ***
DESTIN_ID2006  3.3596129  0.2913844    11.530  < 2e-16 ***
DESTIN_ID2021  3.4281448  0.2952170    11.612  < 2e-16 ***
DESTIN_ID2022  4.7924738  0.2917617    16.426  < 2e-16 ***
DESTIN_ID2023  3.8254301  0.2916123    13.118  < 2e-16 ***
DESTIN_ID2024  2.6988888  0.2927472     9.219  < 2e-16 ***
DESTIN_ID2025  1.0051620  0.3386827     2.968 0.002999 ** 
DESTIN_ID2042  1.6988922  0.3112194     5.459 4.79e-08 ***
DESTIN_ID2043  3.1572194  0.2930880    10.772  < 2e-16 ***
DESTIN_ID2044  2.8072146  0.2928619     9.585  < 2e-16 ***
DESTIN_ID2045  2.9728438  0.2992977     9.933  < 2e-16 ***
DESTIN_ID2061  2.7889518  0.2997555     9.304  < 2e-16 ***
DESTIN_ID2062  3.1473275  0.2940225    10.704  < 2e-16 ***
DESTIN_ID2063  2.9203685  0.2926306     9.980  < 2e-16 ***
DESTIN_ID2064  2.0919480  0.2994107     6.987 2.81e-12 ***
DESTIN_ID2079  4.0794232  0.2918005    13.980  < 2e-16 ***
DESTIN_ID2082  2.6437989  0.2976028     8.884  < 2e-16 ***
DESTIN_ID2083  2.8858900  0.2923235     9.872  < 2e-16 ***
DESTIN_ID2098  5.1409510  0.2907494    17.682  < 2e-16 ***
DESTIN_ID2099  6.3609500  0.2904782    21.898  < 2e-16 ***
DESTIN_ID2102  5.8598694  0.2905846    20.166  < 2e-16 ***
DESTIN_ID2115  6.6456183  0.2911434    22.826  < 2e-16 ***
DESTIN_ID2119  6.8891882  0.2904482    23.719  < 2e-16 ***
DESTIN_ID2121  4.4577563  0.2908371    15.327  < 2e-16 ***
DESTIN_ID2137  4.5601779  0.2909673    15.672  < 2e-16 ***
DESTIN_ID2140  3.4734038  0.2918385    11.902  < 2e-16 ***
DESTIN_ID215   1.0338447  0.3670332     2.817 0.004851 ** 
DESTIN_ID2153  1.7127411  0.2967686     5.771 7.87e-09 ***
DESTIN_ID2158  4.2469073  0.2915101    14.569  < 2e-16 ***
DESTIN_ID216   1.9373534  0.3142463     6.165 7.04e-10 ***
DESTIN_ID217   4.1645778  0.2967778    14.033  < 2e-16 ***
DESTIN_ID2177  3.8667660  0.2915755    13.262  < 2e-16 ***
DESTIN_ID2178  1.7877031  0.3027677     5.905 3.54e-09 ***
DESTIN_ID2196  3.4018043  0.2976117    11.430  < 2e-16 ***
DESTIN_ID2197  3.6662785  0.2924011    12.539  < 2e-16 ***
DESTIN_ID2267  1.9807468  0.3220664     6.150 7.74e-10 ***
DESTIN_ID233   1.4395983  0.2986926     4.820 1.44e-06 ***
DESTIN_ID234   1.6126552  0.3088705     5.221 1.78e-07 ***
DESTIN_ID235   2.1912261  0.3070804     7.136 9.63e-13 ***
DESTIN_ID252   2.1473249  0.2971975     7.225 5.00e-13 ***
DESTIN_ID253   2.3095531  0.3005721     7.684 1.54e-14 ***
DESTIN_ID254   3.1236335  0.2968592    10.522  < 2e-16 ***
DESTIN_ID271   1.9455694  0.3155561     6.166 7.02e-10 ***
DESTIN_ID272   4.1784068  0.2922487    14.297  < 2e-16 ***
DESTIN_ID290   2.3460199  0.3080200     7.616 2.61e-14 ***
DESTIN_ID291   1.6770234  0.3271511     5.126 2.96e-07 ***
DESTIN_ID292   2.9702236  0.2986722     9.945  < 2e-16 ***
DESTIN_ID308   4.2063634  0.2951074    14.254  < 2e-16 ***
DESTIN_ID309   1.0799848  0.3034979     3.558 0.000373 ***
DESTIN_ID310   3.0183120  0.2965530    10.178  < 2e-16 ***
DESTIN_ID329   3.2073250  0.2999267    10.694  < 2e-16 ***
DESTIN_ID330   2.1279660  0.2989621     7.118 1.10e-12 ***
DESTIN_ID347   1.8131256  0.2961509     6.122 9.22e-10 ***
DESTIN_ID348   2.3237699  0.2969996     7.824 5.11e-15 ***
DESTIN_ID349   0.4599174  0.3464802     1.327 0.184377    
DESTIN_ID366   3.5839505  0.3024747    11.849  < 2e-16 ***
DESTIN_ID367   1.7411244  0.3073263     5.665 1.47e-08 ***
DESTIN_ID368   5.6715772  0.2903626    19.533  < 2e-16 ***
DESTIN_ID369   4.1539473  0.2916196    14.244  < 2e-16 ***
DESTIN_ID370   5.3089095  0.2906900    18.263  < 2e-16 ***
DESTIN_ID385   1.8925461  0.3280879     5.768 8.00e-09 ***
DESTIN_ID386   1.2697248  0.3069494     4.137 3.53e-05 ***
DESTIN_ID387   2.7310504  0.2922627     9.345  < 2e-16 ***
DESTIN_ID388   3.1116541  0.2922318    10.648  < 2e-16 ***
DESTIN_ID389   3.8540450  0.2924349    13.179  < 2e-16 ***
DESTIN_ID40    2.3418506  0.3516793     6.659 2.76e-11 ***
DESTIN_ID404   2.4929644  0.3150391     7.913 2.51e-15 ***
DESTIN_ID405   0.8215259  0.3197313     2.569 0.010187 *  
DESTIN_ID406   0.7964942  0.3103875     2.566 0.010284 *  
DESTIN_ID407   4.3606360  0.2907354    14.999  < 2e-16 ***
DESTIN_ID408   3.7018916  0.2911816    12.713  < 2e-16 ***
DESTIN_ID42    2.0749850  0.2997765     6.922 4.46e-12 ***
DESTIN_ID424   2.5817740  0.2978729     8.667  < 2e-16 ***
DESTIN_ID425   2.3115470  0.2931306     7.886 3.13e-15 ***
DESTIN_ID426   5.2195904  0.2904752    17.969  < 2e-16 ***
DESTIN_ID427   4.3121336  0.2914457    14.796  < 2e-16 ***
DESTIN_ID442   2.1231812  0.3129310     6.785 1.16e-11 ***
DESTIN_ID443  -0.1263903  0.4186517    -0.302 0.762730    
DESTIN_ID444   3.4789957  0.2919666    11.916  < 2e-16 ***
DESTIN_ID445   3.6356211  0.2908556    12.500  < 2e-16 ***
DESTIN_ID447  -0.1714977  0.4015637    -0.427 0.669325    
DESTIN_ID448   3.6669886  0.2934217    12.497  < 2e-16 ***
DESTIN_ID461   2.6487481  0.3015369     8.784  < 2e-16 ***
DESTIN_ID462   2.3710730  0.2991538     7.926 2.26e-15 ***
DESTIN_ID463   3.1513562  0.2911751    10.823  < 2e-16 ***
DESTIN_ID464   5.2660601  0.2904271    18.132  < 2e-16 ***
DESTIN_ID465   2.0531241  0.2958236     6.940 3.91e-12 ***
DESTIN_ID466   1.9591770  0.3038624     6.448 1.14e-10 ***
DESTIN_ID467   1.8742574  0.3170606     5.911 3.39e-09 ***
DESTIN_ID480   2.1324138  0.3167412     6.732 1.67e-11 ***
DESTIN_ID481   3.2438184  0.2942498    11.024  < 2e-16 ***
DESTIN_ID482   2.2637423  0.2939137     7.702 1.34e-14 ***
DESTIN_ID483   5.6396010  0.2903880    19.421  < 2e-16 ***
DESTIN_ID484   5.4018458  0.2904377    18.599  < 2e-16 ***
DESTIN_ID486   3.1691854  0.2935269    10.797  < 2e-16 ***
DESTIN_ID487   1.3696374  0.3360309     4.076 4.58e-05 ***
DESTIN_ID488   0.9139713  0.4015736     2.276 0.022848 *  
DESTIN_ID489   0.5187210  0.5332383     0.973 0.330665    
DESTIN_ID499   1.1295708  0.3350714     3.371 0.000749 ***
DESTIN_ID500   1.4019871  0.3201393     4.379 1.19e-05 ***
DESTIN_ID501   1.9791523  0.2926027     6.764 1.34e-11 ***
DESTIN_ID502   4.7031316  0.2904513    16.192  < 2e-16 ***
DESTIN_ID503   3.9859853  0.2910997    13.693  < 2e-16 ***
DESTIN_ID507   2.9457711  0.3044131     9.677  < 2e-16 ***
DESTIN_ID508   0.9311746  0.4094600     2.274 0.022957 *  
DESTIN_ID509   1.1528500  0.4186073     2.754 0.005887 ** 
DESTIN_ID518   0.6491990  0.4420619     1.469 0.141949    
DESTIN_ID519   3.0350486  0.2966046    10.233  < 2e-16 ***
DESTIN_ID520   2.1850238  0.2974456     7.346 2.04e-13 ***
DESTIN_ID521   7.1508243  0.2903560    24.628  < 2e-16 ***
DESTIN_ID522   4.5385623  0.2905150    15.622  < 2e-16 ***
DESTIN_ID524   0.3451999  0.3464693     0.996 0.319087    
DESTIN_ID528   1.8737430  0.3282338     5.709 1.14e-08 ***
DESTIN_ID529   2.7988557  0.3084586     9.074  < 2e-16 ***
DESTIN_ID530   3.1998555  0.3064472    10.442  < 2e-16 ***
DESTIN_ID537   1.0005828  0.3414600     2.930 0.003386 ** 
DESTIN_ID538   2.2740714  0.2988321     7.610 2.74e-14 ***
DESTIN_ID539   1.6600183  0.2939831     5.647 1.64e-08 ***
DESTIN_ID540   4.4635901  0.2904630    15.367  < 2e-16 ***
DESTIN_ID541   0.9133015  0.3143332     2.906 0.003666 ** 
DESTIN_ID547   1.0512198  0.3641586     2.887 0.003893 ** 
DESTIN_ID548   1.8539151  0.3275486     5.660 1.51e-08 ***
DESTIN_ID557   1.2262671  0.3062134     4.005 6.21e-05 ***
DESTIN_ID558   2.3746201  0.2941013     8.074 6.79e-16 ***
DESTIN_ID559   2.0449292  0.2921134     7.000 2.55e-12 ***
DESTIN_ID560   5.0726648  0.2904398    17.465  < 2e-16 ***
DESTIN_ID562   1.4476891  0.2998926     4.827 1.38e-06 ***
DESTIN_ID577   1.3522386  0.2986802     4.527 5.97e-06 ***
DESTIN_ID578   4.9322682  0.2904376    16.982  < 2e-16 ***
DESTIN_ID595   2.0576400  0.2959442     6.953 3.58e-12 ***
DESTIN_ID596   3.7453499  0.2908335    12.878  < 2e-16 ***
DESTIN_ID597   4.4005987  0.2905346    15.147  < 2e-16 ***
DESTIN_ID598   5.6672951  0.2904000    19.515  < 2e-16 ***
DESTIN_ID60    1.0950442  0.4087474     2.679 0.007384 ** 
DESTIN_ID600   5.5538338  0.2906580    19.108  < 2e-16 ***
DESTIN_ID61    1.4432282  0.2963042     4.871 1.11e-06 ***
DESTIN_ID613   2.5308795  0.2992329     8.458  < 2e-16 ***
DESTIN_ID614   1.2436623  0.3020880     4.117 3.84e-05 ***
DESTIN_ID615   5.3170537  0.2904472    18.306  < 2e-16 ***
DESTIN_ID616   6.0168111  0.2903888    20.720  < 2e-16 ***
DESTIN_ID617   3.8775130  0.2909655    13.326  < 2e-16 ***
DESTIN_ID62    2.0524472  0.2958695     6.937 4.01e-12 ***
DESTIN_ID633   2.6803632  0.2934252     9.135  < 2e-16 ***
DESTIN_ID634   4.8691347  0.2905232    16.760  < 2e-16 ***
DESTIN_ID635   3.6798440  0.2908471    12.652  < 2e-16 ***
DESTIN_ID636   5.3972020  0.2904159    18.584  < 2e-16 ***
DESTIN_ID638   1.7831155  0.2960745     6.023 1.72e-09 ***
DESTIN_ID654   3.2265458  0.2911704    11.081  < 2e-16 ***
DESTIN_ID657   1.9415480  0.2950352     6.581 4.68e-11 ***
DESTIN_ID662   2.7357147  0.3131906     8.735  < 2e-16 ***
DESTIN_ID671   3.8821952  0.2913201    13.326  < 2e-16 ***
DESTIN_ID673   2.9462533  0.2912866    10.115  < 2e-16 ***
DESTIN_ID674   4.8812067  0.2904674    16.805  < 2e-16 ***
DESTIN_ID682   3.4146269  0.2968443    11.503  < 2e-16 ***
DESTIN_ID689   2.6807830  0.2965506     9.040  < 2e-16 ***
DESTIN_ID690   4.2412283  0.2908643    14.581  < 2e-16 ***
DESTIN_ID691   2.9142619  0.2914797     9.998  < 2e-16 ***
DESTIN_ID692   5.6286005  0.2904040    19.382  < 2e-16 ***
DESTIN_ID693   3.3054378  0.2913847    11.344  < 2e-16 ***
DESTIN_ID695   5.2508878  0.2904945    18.076  < 2e-16 ***
DESTIN_ID700   3.9928102  0.2929710    13.629  < 2e-16 ***
DESTIN_ID710   2.1297692  0.2934227     7.258 3.92e-13 ***
DESTIN_ID711   4.6056474  0.2904761    15.856  < 2e-16 ***
DESTIN_ID712   3.8395577  0.2906228    13.211  < 2e-16 ***
DESTIN_ID713   3.9361351  0.2909779    13.527  < 2e-16 ***
DESTIN_ID714   4.4573702  0.2906250    15.337  < 2e-16 ***
DESTIN_ID715   3.0568908  0.2913500    10.492  < 2e-16 ***
DESTIN_ID727   0.9677436  0.3173943     3.049 0.002296 ** 
DESTIN_ID728   5.3369071  0.2904956    18.372  < 2e-16 ***
DESTIN_ID729   6.2940057  0.2903835    21.675  < 2e-16 ***
DESTIN_ID730   4.5437661  0.2904927    15.642  < 2e-16 ***
DESTIN_ID731   5.2965594  0.2904852    18.233  < 2e-16 ***
DESTIN_ID732   2.8781996  0.2923160     9.846  < 2e-16 ***
DESTIN_ID733   5.0556504  0.2904434    17.407  < 2e-16 ***
DESTIN_ID734   4.3344466  0.2906146    14.915  < 2e-16 ***
DESTIN_ID738   3.8983115  0.2923851    13.333  < 2e-16 ***
DESTIN_ID746   2.4399100  0.2983998     8.177 2.92e-16 ***
DESTIN_ID748   2.8871554  0.2912214     9.914  < 2e-16 ***
DESTIN_ID749   4.8864916  0.2904672    16.823  < 2e-16 ***
DESTIN_ID750   4.9273818  0.2904448    16.965  < 2e-16 ***
DESTIN_ID751   4.7010748  0.2905343    16.181  < 2e-16 ***
DESTIN_ID752   4.2409249  0.2906401    14.592  < 2e-16 ***
DESTIN_ID753   6.4892313  0.2903859    22.347  < 2e-16 ***
DESTIN_ID754   5.8380656  0.2904557    20.100  < 2e-16 ***
DESTIN_ID757   1.4250324  0.3174535     4.489 7.16e-06 ***
DESTIN_ID764   1.0456843  0.3549441     2.946 0.003219 ** 
DESTIN_ID766   4.6511380  0.2905506    16.008  < 2e-16 ***
DESTIN_ID767   5.4282402  0.2904423    18.690  < 2e-16 ***
DESTIN_ID768   4.4229230  0.2905141    15.224  < 2e-16 ***
DESTIN_ID769   3.5986291  0.2907100    12.379  < 2e-16 ***
DESTIN_ID770   4.6903295  0.2904935    16.146  < 2e-16 ***
DESTIN_ID771   4.6762982  0.2904727    16.099  < 2e-16 ***
DESTIN_ID772   4.2196973  0.2906136    14.520  < 2e-16 ***
DESTIN_ID773   6.1722379  0.2904844    21.248  < 2e-16 ***
DESTIN_ID774   2.0737287  0.3051327     6.796 1.07e-11 ***
DESTIN_ID775   1.2334952  0.3122664     3.950 7.81e-05 ***
DESTIN_ID776   3.0767508  0.2943723    10.452  < 2e-16 ***
DESTIN_ID78    2.9511280  0.3232573     9.129  < 2e-16 ***
DESTIN_ID784   3.2568598  0.2936494    11.091  < 2e-16 ***
DESTIN_ID785   3.3741071  0.2913280    11.582  < 2e-16 ***
DESTIN_ID786   4.0886556  0.2908392    14.058  < 2e-16 ***
DESTIN_ID787   4.7328592  0.2907974    16.275  < 2e-16 ***
DESTIN_ID788   6.0968057  0.2903857    20.996  < 2e-16 ***
DESTIN_ID789   5.8266373  0.2904599    20.060  < 2e-16 ***
DESTIN_ID79   -2.7071209  0.7648968    -3.539 0.000401 ***
DESTIN_ID790   2.6952348  0.2913976     9.249  < 2e-16 ***
DESTIN_ID791   3.9826012  0.2907523    13.698  < 2e-16 ***
DESTIN_ID792   3.0438126  0.2910688    10.457  < 2e-16 ***
DESTIN_ID793   0.9686565  0.3372872     2.872 0.004080 ** 
DESTIN_ID794   1.4346579  0.3047555     4.708 2.51e-06 ***
DESTIN_ID795   3.7024682  0.2924439    12.660  < 2e-16 ***
DESTIN_ID80    2.3289608  0.2931135     7.946 1.93e-15 ***
DESTIN_ID803   3.6126977  0.2911221    12.410  < 2e-16 ***
DESTIN_ID804   3.9721413  0.2907629    13.661  < 2e-16 ***
DESTIN_ID805   1.7436912  0.2969988     5.871 4.33e-09 ***
DESTIN_ID806   5.1384007  0.2904479    17.691  < 2e-16 ***
DESTIN_ID807   3.9817463  0.2910361    13.681  < 2e-16 ***
DESTIN_ID809   4.9570204  0.2904466    17.067  < 2e-16 ***
DESTIN_ID81    4.6949643  0.3051327    15.387  < 2e-16 ***
DESTIN_ID810   2.6298204  0.2916037     9.018  < 2e-16 ***
DESTIN_ID811   2.9512200  0.2921025    10.103  < 2e-16 ***
DESTIN_ID812   1.7980667  0.2966187     6.062 1.35e-09 ***
DESTIN_ID813   3.3326626  0.2915844    11.429  < 2e-16 ***
DESTIN_ID814   2.2291019  0.2978060     7.485 7.15e-14 ***
DESTIN_ID82    1.1437509  0.5001671     2.287 0.022211 *  
DESTIN_ID822   4.0191265  0.2921179    13.759  < 2e-16 ***
DESTIN_ID823   4.2786602  0.2905611    14.726  < 2e-16 ***
DESTIN_ID824   1.5364964  0.2951183     5.206 1.93e-07 ***
DESTIN_ID825   4.1038715  0.2907125    14.117  < 2e-16 ***
DESTIN_ID826   4.8307455  0.2904794    16.630  < 2e-16 ***
DESTIN_ID829   4.6339318  0.2904887    15.952  < 2e-16 ***
DESTIN_ID831   4.7500259  0.2907083    16.339  < 2e-16 ***
DESTIN_ID832   1.7353461  0.2961133     5.860 4.62e-09 ***
DESTIN_ID833   2.9133055  0.2917410     9.986  < 2e-16 ***
DESTIN_ID840   4.0080521  0.2910090    13.773  < 2e-16 ***
DESTIN_ID841   4.7133386  0.2904977    16.225  < 2e-16 ***
DESTIN_ID842   5.6599775  0.2904064    19.490  < 2e-16 ***
DESTIN_ID843   1.9746548  0.2941318     6.714 1.90e-11 ***
DESTIN_ID844   2.6173195  0.2930749     8.931  < 2e-16 ***
DESTIN_ID845   4.4561637  0.2906402    15.332  < 2e-16 ***
DESTIN_ID846   1.7204355  0.2944237     5.843 5.11e-09 ***
DESTIN_ID847   6.5330324  0.2903802    22.498  < 2e-16 ***
DESTIN_ID850   0.6030462  0.7648590     0.788 0.430439    
DESTIN_ID851   6.3521709  0.2904355    21.871  < 2e-16 ***
DESTIN_ID852   2.0015358  0.2951563     6.781 1.19e-11 ***
DESTIN_ID859   4.0006433  0.2909627    13.750  < 2e-16 ***
DESTIN_ID860   5.7733341  0.2904503    19.877  < 2e-16 ***
DESTIN_ID861   6.5408217  0.2903806    22.525  < 2e-16 ***
DESTIN_ID862   2.3615554  0.2938861     8.036 9.31e-16 ***
DESTIN_ID863   3.8967276  0.2909432    13.393  < 2e-16 ***
DESTIN_ID864   2.5379493  0.2919513     8.693  < 2e-16 ***
DESTIN_ID865   5.3817671  0.2904568    18.529  < 2e-16 ***
DESTIN_ID866   3.0781334  0.2910650    10.575  < 2e-16 ***
DESTIN_ID867   4.9550472  0.2905146    17.056  < 2e-16 ***
DESTIN_ID869   1.8072820  0.3038060     5.949 2.70e-09 ***
DESTIN_ID871   1.9939051  0.2942594     6.776 1.24e-11 ***
DESTIN_ID872   6.5982260  0.2904560    22.717  < 2e-16 ***
DESTIN_ID878   4.4286128  0.2906101    15.239  < 2e-16 ***
DESTIN_ID879   5.0947962  0.2904381    17.542  < 2e-16 ***
DESTIN_ID880   4.8723619  0.2904807    16.773  < 2e-16 ***
DESTIN_ID882   4.3626032  0.2907035    15.007  < 2e-16 ***
DESTIN_ID883   3.4657618  0.2910405    11.908  < 2e-16 ***
DESTIN_ID884   3.2131091  0.2912009    11.034  < 2e-16 ***
DESTIN_ID885   4.8003174  0.2904658    16.526  < 2e-16 ***
DESTIN_ID886   4.6684994  0.2906479    16.062  < 2e-16 ***
DESTIN_ID890   2.2880270  0.2921290     7.832 4.79e-15 ***
DESTIN_ID891   4.2635651  0.3842361    11.096  < 2e-16 ***
DESTIN_ID897   4.4873976  0.2906954    15.437  < 2e-16 ***
DESTIN_ID898   4.5884786  0.2905809    15.791  < 2e-16 ***
DESTIN_ID899   3.6764967  0.2907485    12.645  < 2e-16 ***
DESTIN_ID900   3.5714729  0.2909620    12.275  < 2e-16 ***
DESTIN_ID901   4.6642623  0.2905594    16.053  < 2e-16 ***
DESTIN_ID902   3.8577680  0.2908725    13.263  < 2e-16 ***
DESTIN_ID903   3.0444847  0.2930089    10.390  < 2e-16 ***
DESTIN_ID904   5.3832011  0.2904570    18.534  < 2e-16 ***
DESTIN_ID905   4.6111005  0.2905886    15.868  < 2e-16 ***
DESTIN_ID907   2.5919390  0.2950250     8.785  < 2e-16 ***
DESTIN_ID909   5.5978503  0.2904361    19.274  < 2e-16 ***
DESTIN_ID910   5.6930107  0.2904362    19.602  < 2e-16 ***
DESTIN_ID915   2.8088959  0.2944389     9.540  < 2e-16 ***
DESTIN_ID916   4.4884338  0.2909836    15.425  < 2e-16 ***
DESTIN_ID917   3.5222487  0.2910753    12.101  < 2e-16 ***
DESTIN_ID918   3.5964217  0.2909975    12.359  < 2e-16 ***
DESTIN_ID919   2.6918795  0.2919044     9.222  < 2e-16 ***
DESTIN_ID920   5.7499155  0.2904264    19.798  < 2e-16 ***
DESTIN_ID922   3.7294368  0.2912070    12.807  < 2e-16 ***
DESTIN_ID923   5.1934315  0.2904804    17.879  < 2e-16 ***
DESTIN_ID927   4.0907647  0.2909170    14.062  < 2e-16 ***
DESTIN_ID928   4.8533767  0.2905221    16.706  < 2e-16 ***
DESTIN_ID929   2.6044944  0.2929267     8.891  < 2e-16 ***
DESTIN_ID935   3.9782703  0.2909819    13.672  < 2e-16 ***
DESTIN_ID936   4.5476848  0.2906058    15.649  < 2e-16 ***
DESTIN_ID937   4.9482849  0.2905224    17.032  < 2e-16 ***
DESTIN_ID938   4.0101052  0.2907731    13.791  < 2e-16 ***
DESTIN_ID939   4.7352356  0.2905088    16.300  < 2e-16 ***
DESTIN_ID945   4.5918899  0.2911301    15.773  < 2e-16 ***
DESTIN_ID947   4.9875656  0.2904728    17.171  < 2e-16 ***
DESTIN_ID948   4.9750350  0.2905340    17.124  < 2e-16 ***
DESTIN_ID953   5.3013206  0.2905248    18.247  < 2e-16 ***
DESTIN_ID954   4.1140720  0.2907516    14.150  < 2e-16 ***
DESTIN_ID955   4.9884867  0.2905202    17.171  < 2e-16 ***
DESTIN_ID956   4.1171706  0.2907964    14.158  < 2e-16 ***
DESTIN_ID964   0.8003612  0.3298460     2.426 0.015247 *  
DESTIN_ID966   5.4324189  0.2904482    18.704  < 2e-16 ***
DESTIN_ID967   5.3258725  0.2905575    18.330  < 2e-16 ***
DESTIN_ID972   4.5323835  0.2907549    15.588  < 2e-16 ***
DESTIN_ID973   3.0300512  0.2919553    10.378  < 2e-16 ***
DESTIN_ID974   3.5085139  0.2909587    12.058  < 2e-16 ***
DESTIN_ID975   3.8500940  0.2908686    13.237  < 2e-16 ***
DESTIN_ID977   5.0118921  0.2905114    17.252  < 2e-16 ***
DESTIN_ID983   1.8172743  0.3700973     4.910 9.10e-07 ***
DESTIN_ID985   4.3945621  0.2905833    15.123  < 2e-16 ***
DESTIN_ID986   2.7430611  0.2915051     9.410  < 2e-16 ***
DESTIN_ID99   -0.2010924  0.3886413    -0.517 0.604860    
DESTIN_ID990   2.4634849  0.2966164     8.305  < 2e-16 ***
DESTIN_ID991   2.9602727  0.2950549    10.033  < 2e-16 ***
DESTIN_ID992   2.9189412  0.2971156     9.824  < 2e-16 ***
DESTIN_ID993   5.6485443  0.2904308    19.449  < 2e-16 ***
DESTIN_ID994   3.0247006  0.2921785    10.352  < 2e-16 ***
DESTIN_ID995   4.4975651  0.2906126    15.476  < 2e-16 ***
log(dists)    -1.5664857  0.0004722 -3317.229  < 2e-16 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

(Dispersion parameter for poisson family taken to be 1)

    Null deviance: 29522779  on 62704  degrees of freedom
Residual deviance:  6316372  on 61068  degrees of freedom
AIC: 6616746

Number of Fisher Scoring iterations: 7

From this transformed value, it is possible to conclude the following: As the Doubly Constrained Model focuses entirely on the distance between the origin and destination hexagon cells (Fotheringham, 2001). The coefficient for the log-transform distance is -1.5665. This indicates that for every increase in one unit of log-transformed distance, the number of bus trip between an origin and destination hexagon is reduced by 1.5665. This indicates that even during the weekend/holiday morning peak period, the most important factor in determining bus travel is the distance between the origin and the destination, rather than other propulsive or attractive factors. If one attempts to parse a layman explanation, it would entail that commuters are less likely to travel by bus for further locations even during rest periods.

Conclusion

This study has attempted to study the bus commuter flow in Singapore on Weekend/Holiday Morning Peak between 11 am and 2 pm through the analysis of Origin-Destination Flow and the creation of a Spatial Interaction Model. The Traffic Analysis Zone chosen was a hexagon cells of 750m from edge to edge. In order to do this, it has incorporated a number of additional features which might constitute propulsive and attractive factors such as the residential capacity proxied through the number of occupied HDB units, number of entertainment venues, number of retail venues, number of leisure venues, number of F&B venues, number of financial service venues, number of train station, and number of bus stop.

From the analysis of the Origin-Destination Flow, which was accomplished through the creation of an O-D Matrix and a flowline map, it was shown that bus interchanges are the centers of major clusters of flowlines. Additionally, the Downtown Core saw a large number of thin flow lines, suggesting more dispersed trips with no clear concentrations. This potentially suggests that commuters in this area are more distributed rather than concentrated in key points, implying diverse options for commuters during the Weekend/Holiday Morning.

In terms of the Spatial Interaction Model, four models were constructed: Unconstrained, Origin Constrained, Destination Constrained, and Doubly Constrained. Every coefficients in every model demonstrate statistical significance. The models were then compared using their R-squared value, AIC, and RMSE; this helped determine that the Doubly Constrained Model produces the most optimal results, which is reinforced by the visualization of the models’ fitted values.

Within the Doubly Constrained Model, it is determined that the distance between the origin and destination hexagon cells is the most important factor in explaining the number of bus trips between the two. Potentially, this tells us that distance is still more relevant than other potential propulsive and attractive factors. Overall, the conclusion drawn is that bus travel during the weekend/holiday morning peak is heavily determined by the distance between the origin and destination.

Considering the study’s limitations, future research can consider incorporating more weekend/holiday-oriented information such as the diversity of retail and entertainment venue available in destination cells, and the diverse and average rating of F&B venues in destination cells. These information would help enrich the understanding of the propulsive and attractiveness factors in weekend/holiday morning flow. For example, even if there are technically many F&B options in an origin cell, the diversity and ratings in the destination cells might boost their attractiveness. Furthermore, the distinctions between train and bus trips might be important, as the distance commuters are willing to travel might depend on their choice of transit mode. Additionally, the Spatial Interaction models built did not take into account spatial weights, based on neighbor definition of the hexagon cells, it might not be realistic in accounting for spatial relationships.

In sum, this study has examined the Weekend/Holiday Morning flow based on origin and destination hexagon cells. However, the Spatial Interaction model can be improved further by including additional information on the attractiveness factors at the destination.

References

Farmer, C. and Oshan, T. (2017). Spatial interaction. The Geographic Information Science & Technology Body of Knowledge (4th Quarter 2017 Edition), John P. Wilson (ed.). https://gistbok.ucgis.org/bok-topics/spatial-interaction

Fotheringham, A. S. (2001). Spatial Interaction Models. In N. J. Smelser & P. B. Baltes (Eds.), International Encyclopedia of the Social & Behavioral Sciences (pp. 14794–14800). Pergamon. https://doi.org/10.1016/B0-08-043076-7/02519-5

Miller, E. J. (2021). Traffic Analysis Zone Definition: Issues & Guidance. University of Toronto Faculty of Applied Science & Engineering Transportation Research Institute. https://tmg.utoronto.ca/files/Reports/Traffic-Zone-Guidance_March-2021_Final.pdf